Accepted papers
Certifications. Accepted TMLR papers can be awarded a number of certifications by the action editors or editorsinchief of TMLR. The current list of awarded certificates is (click on the badges to see the papers with the certification):
 Featured This certification may be awarded to papers that are very high quality. These papers present significant contributions which are novel, clearly explained, and well supported with evidence, theory, or analysis. If this paper was submitted to a toptier conference, it would likely be presented as an oral/spotlight.
 Reproducibility This is awarded to papers whose primary purpose is reproduction of other published work. Beyond simple verification, the paper must contribute significant added value through additional baselines, analysis, ablations, or insights.
 Survey The Survey Certificate is awarded to papers that not only meet the criteria for acceptance but also provide an exceptionally thorough or insightful survey of the topic or approach may be awarded this certification.
 Expert The Expert Reviewer Certificate is awarded to papers whose authors include at least one TMLR Expert Reviewer.
 Outstanding The editorial board of TMLR jointly awards this certification to papers which are deemed to be exceptionally high quality and broadly significant for the field. The certification may be given well after the paper's initial publication in TMLR (a year or more), and is equivalent to a best paper award at a toptier conference.
 Event TMLR papers that are presented at other conferences.

ChatGPT Asks, BLIP2 Answers: Automatic Questioning Towards Enriched Visual Descriptions
Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny, March 2024
[openreview] [pdf] [bib] [code] 
Revisiting Generalized pLaplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as NonLinear Diffusion
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao, March 2024
[openreview] [pdf] [bib] 
Inverse Kernel Decomposition
Chengrui Li, Anqi Wu, March 2024
[openreview] [pdf] [bib] 
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Dongruo Zhou, Jinghui Chen, Yuan Cao, Ziyan Yang, Quanquan Gu, March 2024
[openreview] [pdf] [bib]
Certifications: Featured 
Granger Causal Interaction Skill Chains
Caleb Chuck, Kevin Black, Aditya Arjun, Yuke Zhu, Scott Niekum, March 2024
[openreview] [pdf] [bib] [code] 
Predictive Pipelined Decoding: A ComputeLatency Tradeoff for Exact LLM Decoding
Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris Papailiopoulos, Kangwook Lee, March 2024
[openreview] [pdf] [bib] 
Maximizing Global Model Appeal in Federated Learning
Yae Jee Cho, Divyansh Jhunjhunwala, Tian Li, Virginia Smith, Gauri Joshi, March 2024
[openreview] [pdf] [bib] [code] 
Learning Sparse Graphs for Functional Regression using Graphinduced Operatorvalued Kernels
Akash Saha, Balamurugan Palaniappan, March 2024
[openreview] [pdf] [bib] [code] 
Addressing Attribute Bias with Adversarial SupportMatching
Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto, March 2024
[openreview] [pdf] [bib] [code] 
Hyperparameter Tuning for Fair Classification without Sensitive Attribute Access
Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg, March 2024
[openreview] [pdf] [bib] 
E(n)equivariant Graph Neural Cellular Automata
Gennaro Gala, Daniele Grattarola, Erik Quaeghebeur, March 2024
[openreview] [pdf] [bib] [code] 
Layerdiverse Negative Sampling for Graph Neural Networks
Wei Duan, Jie Lu, Yu Guang Wang, Junyu Xuan, March 2024
[openreview] [pdf] [bib] 
Personalized Federated Learning with Spurious Features: An Adversarial Approach
Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Sanmi Koyejo, March 2024
[openreview] [pdf] [bib] 
Improving and generalizing flowbased generative models with minibatch optimal transport
Alexander Tong, Kilian FATRAS, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid RectorBrooks, Guy Wolf, Yoshua Bengio, March 2024
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
A PseudoMetric between Probability Distributions based on DepthTrimmed Regions
Guillaume Staerman, Pavlo Mozharovskyi, Pierre Colombo, Stephan Clémençon, Florence d'AlchéBuc, March 2024
[openreview] [pdf] [bib] [code] 
World Models via PolicyGuided Trajectory Diffusion
Marc Rigter, Jun Yamada, Ingmar Posner, March 2024
[openreview] [pdf] [bib] [code] 
Adapting Contrastive LanguageImage Pretrained (CLIP) Models for OutofDistribution Detection
Nikolas Adaloglou, Felix Michels, Tim Kaiser, Markus Kollmann, March 2024
[openreview] [pdf] [bib] [code] 
Multiconditioned Graph Diffusion for Neural Architecture Search
Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns, Vasileios Belagiannis, March 2024
[openreview] [pdf] [bib] [code] 
How does oversquashing affect the power of GNNs?
Francesco Di Giovanni, T. Konstantin Rusch, Michael Bronstein, Andreea Deac, Marc Lackenby, Siddhartha Mishra, Petar Veličković, March 2024
[openreview] [pdf] [bib] 
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
Alexander Tornede, Difan Deng, Theresa Eimer, Joseph Giovanelli, Aditya Mohan, Tim Ruhkopf, Sarah Segel, Daphne Theodorakopoulos, Tanja Tornede, Henning Wachsmuth, Marius Lindauer, March 2024
[openreview] [pdf] [bib] 
Exposing and Addressing CrossTask Inconsistency in Unified VisionLanguage Models
Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi, March 2024
[openreview] [pdf] [bib] 
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel’s Spectrum
Amnon Geifman, Daniel Barzilai, Ronen Basri, Meirav Galun, March 2024
[openreview] [pdf] [bib] 
Attending to Graph Transformers
Luis Müller, Mikhail Galkin, Christopher Morris, Ladislav Rampášek, March 2024
[openreview] [pdf] [bib] [code] 
Discovering Model Structure of Dynamical Systems with Combinatorial Bayesian Optimization
Lucas Rath, Alexander von Rohr, Andreas Schultze, Sebastian Trimpe, Burkhard Corves, March 2024
[openreview] [pdf] [bib] [code] 
LLMgrounded Diffusion: Enhancing Prompt Understanding of TexttoImage Diffusion Models with Large Language Models
Long Lian, Boyi Li, Adam Yala, Trevor Darrell, March 2024
[openreview] [pdf] [bib] [code]
Certifications: Featured 
An Improved Federated Clustering Algorithm with Modelbased Clustering
Harsh Vardhan, Avishek Ghosh, Arya Mazumdar, March 2024
[openreview] [pdf] [bib] [code] 
Series of HessianVector Products for Tractable SaddleFree Newton Optimisation of Neural Networks
Elre Talea Oldewage, Ross M Clarke, José Miguel HernándezLobato, March 2024
[openreview] [pdf] [bib] [code] 
DemographicallyInformed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H Milone, Enzo Ferrante, March 2024
[openreview] [pdf] [bib] [code] 
Fast Training of Diffusion Models with Masked Transformers
Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar, March 2024
[openreview] [pdf] [bib] [code] 
Functional Linear Regression of Cumulative Distribution Functions
Qian Zhang, Anuran Makur, Kamyar Azizzadenesheli, March 2024
[openreview] [pdf] [bib] 
Bias/Variance is not the same as Approximation/Estimation
Gavin Brown, Riccardo Ali, March 2024
[openreview] [pdf] [bib] [code] 
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
Ziyang Jiang, Tongshu Zheng, Yiling Liu, David Carlson, March 2024
[openreview] [pdf] [bib] [code] 
Using SumProduct Networks to Assess Uncertainty in Deep Active Learning
Mohamadsadegh Khosravani, Sandra Zilles, March 2024
[openreview] [pdf] [bib] 
How Much Pretraining Is Enough to Discover a Good Subnetwork?
Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis, March 2024
[openreview] [pdf] [bib] 
Pullback Geometry of Persistent Homology Encodings
Shuang Liang, Renata Turkes, Jiayi Li, Nina Otter, Guido Montufar, March 2024
[openreview] [pdf] [bib] [code] 
MC Layer Normalization for calibrated uncertainty in Deep Learning
Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F Grewe, Cristiano Malossi, Rong J.B. Zhu, Mattia Rigotti, March 2024
[openreview] [pdf] [bib] [code] 
Kernel Normalized Convolutional Networks
Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Daniel Rueckert, Georgios Kaissis, March 2024
[openreview] [pdf] [bib] [code] 
A VAEbased Framework for Learning MultiLevel Neural GrangerCausal Connectivity
Jiahe Lin, Huitian Lei, George Michailidis, March 2024
[openreview] [pdf] [bib] [code] 
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation
Wankou Yang, Jiren Mai, Fei Zhang, Tongliang Liu, Bo Han, March 2024
[openreview] [pdf] [bib] [code] 
Learning from Natural Language Feedback
Angelica Chen, Jérémy Scheurer, Jon Ander Campos, Tomasz Korbak, Jun Shern Chan, Samuel R. Bowman, Kyunghyun Cho, Ethan Perez, March 2024
[openreview] [pdf] [bib] [code] 
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah, Alec Helbling, Kyle A. Johnsen, Christopher John Rozell, February 2024
[openreview] [pdf] [bib] [code] 
PseudoDifferential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations
Jin Young Shin, Jae Yong Lee, Hyung Ju Hwang, February 2024
[openreview] [pdf] [bib] 
Are Population Graphs Really as Powerful as Believed?
Tamara T. Müller, Sophie Starck, KyriakiMargarita Bintsi, Alexander Ziller, Rickmer Braren, Georgios Kaissis, Daniel Rueckert, February 2024
[openreview] [pdf] [bib] [code] 
Multitask Learning Can Improve WorstGroup Outcomes
Atharva Kulkarni, Lucio M. Dery, Amrith Setlur, Aditi Raghunathan, Ameet Talwalkar, Graham Neubig, February 2024
[openreview] [pdf] [bib] [code] 
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister, February 2024
[openreview] [pdf] [bib] [code] 
Statistical Component Separation for Targeted Signal Recovery in Noisy Mixtures
Bruno RégaldoSaint Blancard, Michael Eickenberg, February 2024
[openreview] [pdf] [bib] [code] 
A density estimation perspective on learning from pairwise human preferences
Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann Dauphin, February 2024
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Budgeted Online Model Selection and FineTuning via Federated Learning
Pouya M. Ghari, Yanning Shen, February 2024
[openreview] [pdf] [bib] [code] 
ModuLoRA: Finetuning 2Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Junjie Yin, Jiahao Dong, Yingheng Wang, Christopher De Sa, Volodymyr Kuleshov, February 2024
[openreview] [pdf] [bib]
Certifications: Featured 
Leveraging Endo and ExoTemporal Regularization for Blackbox Video Domain Adaptation
Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen, February 2024
[openreview] [pdf] [bib] [code] 
Correlation Clustering with Active Learning of Pairwise Similarities
Linus Aronsson, Morteza Haghir Chehreghani, February 2024
[openreview] [pdf] [bib] [code] 
Effective Latent Differential Equation Models via Attention and Multiple Shooting
Germán Abrevaya, Mahta RamezanianPanahi, JeanChristophe GagnonAudet, Pablo Polosecki, Irina Rish, Silvina Ponce Dawson, Guillermo Cecchi, Guillaume Dumas, February 2024
[openreview] [pdf] [bib] [code] 
Global Convergence of SGD For Logistic Loss on Two Layer Neural Nets
Pulkit Gopalani, Samyak Jha, Anirbit Mukherjee, February 2024
[openreview] [pdf] [bib] 
Why should autoencoders work?
Matthew Kvalheim, Eduardo Sontag, February 2024
[openreview] [pdf] [bib] 
Enhancing Robustness to ClassConditional Distribution Shift in LongTailed Recognition
Keliang Li, Hong Chang, Shiguang Shan, Xilin CHEN, February 2024
[openreview] [pdf] [bib] 
InParsLight: CostEffective Unsupervised Training of Efficient Rankers
Leonid Boytsov, Preksha Patel, Vivek Sourabh, Riddhi Nisar, Sayani Kundu, Ramya Ramanathan, Eric Nyberg, February 2024
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Cognitive Architectures for Language Agents
Theodore Sumers, Shunyu Yao, Karthik Narasimhan, Thomas Griffiths, February 2024
[openreview] [pdf] [bib]
Certifications: Survey 
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han, Dai Shi, Lequan Lin, Junbin Gao, February 2024
[openreview] [pdf] [bib]
Certifications: Survey 
Expected Pinball Loss For Quantile Regression And Inverse CDF Estimation
Taman Narayan, Serena Lutong Wang, Kevin Robert Canini, Maya Gupta, February 2024
[openreview] [pdf] [bib] [code] 
The Slingshot Effect: A LateStage Optimization Anomaly in Adaptive Gradient Methods
Vimal Thilak, Etai Littwin, Shuangfei Zhai, Omid Saremi, Roni Paiss, Joshua M. Susskind, February 2024
[openreview] [pdf] [bib] 
Mixed Nash for Robust Federated Learning
Wanyun Xie, Thomas Pethick, Ali RamezaniKebrya, Volkan Cevher, February 2024
[openreview] [pdf] [bib] 
Policy Gradient with Kernel Quadrature
Satoshi Hayakawa, Tetsuro Morimura, February 2024
[openreview] [pdf] [bib] 
PNeRV: A Polynomial Neural Representation for Videos
Sonam Gupta, Snehal Singh Tomar, Grigorios Chrysos, Sukhendu Das, Rajagopalan N Ambasamduram, February 2024
[openreview] [pdf] [bib] 
Automated Design of Metaheuristic Algorithms: A Survey
Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi, February 2024
[openreview] [pdf] [bib]
Certifications: Survey 
Exploring Simple, High Quality OutofDistribution Detection with L2 Normalization
Jarrod Haas, William Yolland, Bernhard T Rabus, February 2024
[openreview] [pdf] [bib] 
On the OutofDistribution Coverage of Combining Split Conformal Prediction and Bayesian Deep Learning
Paul Scemama, Ariel Kapusta, February 2024
[openreview] [pdf] [bib] 
Estimating Optimal Policy Value in Linear Contextual Bandits Beyond Gaussianity
Jonathan Lee, Weihao Kong, Aldo Pacchiano, Vidya Muthukumar, Emma Brunskill, February 2024
[openreview] [pdf] [bib] [code] 
DynaConF: Dynamic Forecasting of NonStationary Time Series
Siqi Liu, Andreas Lehrmann, February 2024
[openreview] [pdf] [bib] [code] 
QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich, February 2024
[openreview] [pdf] [bib] 
Image Reconstruction via Deep Image Prior Subspaces
Riccardo Barbano, Javier Antoran, Johannes Leuschner, José Miguel HernándezLobato, Bangti Jin, Zeljko Kereta, February 2024
[openreview] [pdf] [bib] 
On the Dual Problem of Convexified Convolutional Neural Networks
Site Bai, Chuyang Ke, Jean Honorio, February 2024
[openreview] [pdf] [bib] 
Accountable TextualVisual Chat Learns to Reject Human Instructions in Image Recreation
Zhiwei Zhang, Yuliang Liu, February 2024
[openreview] [pdf] [bib] [code]
Certifications: Survey 
Evaluating Spatial Understanding of Large Language Models
Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim, February 2024
[openreview] [pdf] [bib] [code] 
Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic
Matteo Sordello, Niccolo Dalmasso, Hangfeng He, Weijie J Su, February 2024
[openreview] [pdf] [bib] 
Transfer Learning for Highdimensional Quantile Regression with Statistical Guarantee
Sheng Qiao, Yong He, Wenxin Zhou, February 2024
[openreview] [pdf] [bib] 
Recovering Exact Support in Federated lasso without Optimization
Adarsh Barik, Jean Honorio, February 2024
[openreview] [pdf] [bib] 
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron Courville, Yoshua Bengio, February 2024
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Models of human preference for learning reward functions
W. Bradley Knox, Stephane HatgisKessell, Serena Booth, Scott Niekum, Peter Stone, Alessandro G Allievi, February 2024
[openreview] [pdf] [bib] [code] 
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for SemiSupervised Learning
Zhongying Deng, Rihuan Ke, CarolaBibiane Schönlieb, Angelica I AvilesRivero, February 2024
[openreview] [pdf] [bib] [code] 
Mitigating OffPolicy Bias in ActorCritic Methods with OneStep Qlearning: A Novel Correction Approach
Baturay Saglam, Doğan Can Çiçek, Furkan Burak Mutlu, Suleyman Kozat, February 2024
[openreview] [pdf] [bib] [code] 
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio, February 2024
[openreview] [pdf] [bib] 
Visual Prompt Based Personalized Federated Learning
Guanghao Li, Wansen Wu, Yan Sun, Li Shen, Baoyuan Wu, Dacheng Tao, February 2024
[openreview] [pdf] [bib] [code] 
CRMoE: Consistent Routed MixtureofExperts for Scaling Contrastive Learning
Ziyu Jiang, Guoqing Zheng, Yu Cheng, Ahmed Hassan Awadallah, Zhangyang Wang, February 2024
[openreview] [pdf] [bib] [code] 
Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan, Nicole Elyse Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite, February 2024
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Error Bounds for Flow Matching Methods
Joe Benton, George Deligiannidis, Arnaud Doucet, February 2024
[openreview] [pdf] [bib] 
NonUniform Smoothness for Gradient Descent
Albert S. Berahas, Lindon Roberts, Fred Roosta, February 2024
[openreview] [pdf] [bib] 
Hierarchical Neural SimulationBased Inference Over Event Ensembles
Lukas Heinrich, Siddharth MishraSharma, Chris Pollard, Philipp Windischhofer, February 2024
[openreview] [pdf] [bib] [code] 
What is the Solution for StateAdversarial MultiAgent Reinforcement Learning?
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao, February 2024
[openreview] [pdf] [bib] [code] 
MESSY Estimation: MaximumEntropy based Stochastic and Symbolic densitY Estimation
Tony Tohme, Mohsen Sadr, KAMAL YOUCEFTOUMI, Nicolas Hadjiconstantinou, February 2024
[openreview] [pdf] [bib] 
Controlling Federated Learning for Covertness
Adit Jain, Vikram Krishnamurthy, February 2024
[openreview] [pdf] [bib] [code] 
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran, February 2024
[openreview] [pdf] [bib] 
OutofDistribution Optimality of Invariant Risk Minimization
Shoji Toyota, Kenji Fukumizu, February 2024
[openreview] [pdf] [bib] 
When is Momentum Extragradient Optimal? A PolynomialBased Analysis
Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa, February 2024
[openreview] [pdf] [bib] 
DDLP: Unsupervised Objectcentric Video Prediction with Deep Dynamic Latent Particles
Tal Daniel, Aviv Tamar, February 2024
[openreview] [pdf] [bib] [code] 
A Unified View on Solving Objective Mismatch in ModelBased Reinforcement Learning
Ran Wei, Nathan Lambert, Anthony D McDonald, Alfredo Garcia, Roberto Calandra, February 2024
[openreview] [pdf] [bib]
Certifications: Survey 
Introspective Experience Replay: Look Back When Surprised
Ramnath Kumar, Dheeraj Mysore Nagaraj, February 2024
[openreview] [pdf] [bib] [code] 
DomainGeneralizable MultipleDomain Clustering
Amit Rozner, Barak Battash, Lior Wolf, Ofir Lindenbaum, February 2024
[openreview] [pdf] [bib] [code] 
RoboCat: A SelfImproving Generalist Agent for Robotic Manipulation
Konstantinos Bousmalis, Giulia Vezzani, Dushyant Rao, Coline Manon Devin, Alex X. Lee, Maria Bauza Villalonga, Todor Davchev, Yuxiang Zhou, Agrim Gupta, Akhil Raju, Antoine Laurens, Claudio Fantacci, Valentin Dalibard, Martina Zambelli, Murilo Fernandes Martins, Rugile Pevceviciute, Michiel Blokzijl, Misha Denil, Nathan Batchelor, Thomas Lampe, Emilio Parisotto, Konrad Zolna, Scott Reed, Sergio Gómez Colmenarejo, Jonathan Scholz, Abbas Abdolmaleki, Oliver Groth, JeanBaptiste Regli, Oleg Sushkov, Thomas Rothörl, Jose Enrique Chen, Yusuf Aytar, David Barker, Joy Ortiz, Martin Riedmiller, Jost Tobias Springenberg, Raia Hadsell, Francesco Nori, Nicolas Heess, February 2024
[openreview] [pdf] [bib] 
FixedBudget BestArm Identification in Sparse Linear Bandits
Recep Can Yavas, Vincent Y. F. Tan, February 2024
[openreview] [pdf] [bib] [code] 
Understanding the Role of Layer Normalization in LabelSkewed Federated Learning
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen, February 2024
[openreview] [pdf] [bib] [code] 
Learning to Abstain From Uninformative Data
Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen, February 2024
[openreview] [pdf] [bib] [code] 
WaveBench: Benchmarking Datadriven Solvers for Linear Wave Propagation PDEs
Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanić, February 2024
[openreview] [pdf] [bib] [code] 
Using Motion Cues to Supervise Singleframe Body Pose & Shape Estimation in Low Data Regimes
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua, February 2024
[openreview] [pdf] [bib] [code] 
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Objectbased Representations
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil, February 2024
[openreview] [pdf] [bib] [code] 
Candidate Set Reranking for Composed Image Retrieval with Dual Multimodal Encoder
Zheyuan Liu, Weixuan Sun, Damien Teney, Stephen Gould, February 2024
[openreview] [pdf] [bib] [code] 
A Review of the Applications of Deep LearningBased Emergent Communication
Brendon Boldt, David R Mortensen, February 2024
[openreview] [pdf] [bib] 
DataDependent Generalization Bounds for Neural Networks with ReLU
Harsh Pandey, Amitabha Bagchi, Srikanta J. Bedathur, Arindam Bhattacharya, February 2024
[openreview] [pdf] [bib] 
Two Failures of SelfConsistency in the MultiStep Reasoning of LLMs
Angelica Chen, Jason Phang, Alicia Parrish, Vishakh Padmakumar, Chen Zhao, Samuel R. Bowman, Kyunghyun Cho, February 2024
[openreview] [pdf] [bib] 
MOCA: Selfsupervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Perez, February 2024
[openreview] [pdf] [bib] [code] 
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Zhou Fan, Xinran Han, Zi Wang, February 2024
[openreview] [pdf] [bib] [code] 
A Multilinear LeastSquares Formulation for Sparse Tensor Canonical Correlation Analysis
Jun Yu, Zhaoming Kong, Kun Chen, Xin Zhang, Yong Chen, Lifang He, February 2024
[openreview] [pdf] [bib] [code] 
Generalizing Neural Additive Models via Statistical Multimodal Analysis
Young Kyung Kim, Juan Matias Di Martino, Guillermo Sapiro, February 2024
[openreview] [pdf] [bib] [code] 
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
Noriyuki Kojima, Hadar AverbuchElor, Yoav Artzi, February 2024
[openreview] [pdf] [bib] 
Size Lowerbounds for Deep Operator Networks
Anirbit Mukherjee, Amartya Roy, February 2024
[openreview] [pdf] [bib] 
Extending PathDependent NJODEs to Noisy Observations and a Dependent Observation Framework
William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann, January 2024
[openreview] [pdf] [bib] [code] 
Blind Biological Sequence Denoising with SelfSupervised Set Learning
Nathan Hoyen Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho, January 2024
[openreview] [pdf] [bib] 
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline
Simar Kareer, Vivek Vijaykumar, Harsh Maheshwari, Judy Hoffman, Prithvijit Chattopadhyay, Viraj Uday Prabhu, January 2024
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled
Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang, January 2024
[openreview] [pdf] [bib] [code] 
Are you using test loglikelihood correctly?
Sameer Deshpande, Soumya Ghosh, Tin D. Nguyen, Tamara Broderick, January 2024
[openreview] [pdf] [bib] 
Blockwise SelfSupervised Learning at Scale
Shoaib Siddiqui, David Krueger, Yann LeCun, Stephane Deny, January 2024
[openreview] [pdf] [bib] [code] 
Temporally Rich Deep Learning Models for Magnetoencephalography
Tim Chard, Mark Dras, Paul Sowman, Steve Cassidy, Jia Wu, January 2024
[openreview] [pdf] [bib] [code] 
Disciplined Saddle Programming
Philipp Schiele, Eric Sager Luxenberg, Stephen P. Boyd, January 2024
[openreview] [pdf] [bib] [code] 
Federated Sampling with Langevin Algorithm under Isoperimetry
Lukang Sun, Adil Salim, Peter Richtárik, January 2024
[openreview] [pdf] [bib] 
TensorVAE: a simple and efficient generative model for conditional molecular conformation generation
Hongyang Yu, Hongjiang Yu, January 2024
[openreview] [pdf] [bib] [code] 
PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling
Yuan Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin, January 2024
[openreview] [pdf] [bib] [code] 
Break it, Imitate it, Fix it: Robustness by Generating HumanLike Attacks
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel, January 2024
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
MMDRegularized Unbalanced Optimal Transport
Piyushi Manupriya, SakethaNath Jagarlapudi, Pratik Jawanpuria, January 2024
[openreview] [pdf] [bib] [code] 
Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithms
Timothée Mathieu, Debabrota Basu, OdalricAmbrym Maillard, January 2024
[openreview] [pdf] [bib] 
Highdimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang, January 2024
[openreview] [pdf] [bib] [code] 
A general framework for formulating structured variable selection
GUANBO WANG, Mireille Schnitzer, Tom Chen, Rui Wang, Robert W Platt, January 2024
[openreview] [pdf] [bib] 
Towards fully covariant machine learning
Soledad Villar, David W Hogg, Weichi Yao, George A Kevrekidis, Bernhard Schölkopf, January 2024
[openreview] [pdf] [bib] [code] 
Empowering GNNs via EdgeAware WeisfeilerLeman Algorithm
Meng Liu, Haiyang Yu, Shuiwang Ji, January 2024
[openreview] [pdf] [bib] 
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations
Tamara T. Müller, Sophie Starck, Alina Dima, Stephan Wunderlich, KyriakiMargarita Bintsi, Kamilia Zaripova, Rickmer Braren, Daniel Rueckert, Anees Kazi, Georgios Kaissis, January 2024
[openreview] [pdf] [bib]
Certifications: Survey 
To Transfer or Not to Transfer: Suppressing Concepts from Source Representations
Vijay Sadashivaiah, Keerthiram Murugesan, Ronny Luss, PinYu Chen, Chris Sims, James Hendler, Amit Dhurandhar, January 2024
[openreview] [pdf] [bib] 
On the Choice of Learning Rate for Local SGD
Lukas Balles, Prabhu Teja S, Cedric Archambeau, January 2024
[openreview] [pdf] [bib] 
Semantic similarity prediction is better than other semantic similarity measures
Steffen Herbold, January 2024
[openreview] [pdf] [bib] [code] 
Prismer: A VisionLanguage Model with MultiTask Experts
Shikun Liu, Linxi Fan, Edward Johns, Zhiding Yu, Chaowei Xiao, Anima Anandkumar, January 2024
[openreview] [pdf] [bib] [code] 
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa, Emil Palikot, Tianyu Du, Ayush Kanodia, Susan Athey, David Blei, January 2024
[openreview] [pdf] [bib] [code] 
Hyperspherical Prototype Node Clustering
Jitao Lu, Danyang Wu, Feiping Nie, Rong Wang, Xuelong Li, January 2024
[openreview] [pdf] [bib] [code] 
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
Shayan Mohajer Hamidi, ENHUI YANG, January 2024
[openreview] [pdf] [bib] 
Wavelet Networks: ScaleTranslation Equivariant Learning From Raw TimeSeries
David W. Romero, Erik J Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, January 2024
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Variational autoencoder with weighted samples for highdimensional nonparametric adaptive importance sampling
Julien DemangeChryst, Francois Bachoc, Jérôme Morio, Timothé Krauth, January 2024
[openreview] [pdf] [bib] [code] 
Separability Analysis for Causal Discovery in Mixture of DAGs
Burak Varici, Dmitriy Katz, Dennis Wei, Prasanna Sattigeri, Ali Tajer, January 2024
[openreview] [pdf] [bib] [code] 
Unleashing the Potential of Acquisition Functions in HighDimensional Bayesian Optimization
Jiayu Zhao, Renyu Yang, SHENGHAO QIU, Zheng Wang, January 2024
[openreview] [pdf] [bib] [code] 
On the Adversarial Robustness of Camerabased 3D Object Detection
Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie, January 2024
[openreview] [pdf] [bib] [code] 
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Varun A. Kelkar, Rucha Deshpande, Arindam Banerjee, Mark Anastasio, January 2024
[openreview] [pdf] [bib] [code] 
MultiHorizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor McInroe, Lukas Schäfer, Stefano V Albrecht, January 2024
[openreview] [pdf] [bib] 
Neural Task Synthesis for Visual Programming
VictorAlexandru Pădurean, Georgios Tzannetos, Adish Singla, January 2024
[openreview] [pdf] [bib] [code] 
Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
Saurav Prakash, Jin Sima, Chao Pan, Eli Chien, Olgica Milenkovic, January 2024
[openreview] [pdf] [bib] [code] 
Personalized Algorithmic Recourse with Preference Elicitation
Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini, January 2024
[openreview] [pdf] [bib] [code] 
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
Yi Shen, Pan Xu, Michael Zavlanos, January 2024
[openreview] [pdf] [bib]
Certifications: Featured 
A Fully Decentralized Surrogate for MultiAgent Policy Optimization
Kefan Su, Zongqing Lu, January 2024
[openreview] [pdf] [bib] [code] 
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on DifferenceofConvex Functions
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel, January 2024
[openreview] [pdf] [bib] 
Online Reference Tracking For Linear Systems with Unknown Dynamics and Unknown Disturbances
Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares, January 2024
[openreview] [pdf] [bib] 
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, Alaaeldin ElNouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, PoYao Huang, ShangWen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski, January 2024
[openreview] [pdf] [bib] [code] 
Boomerang: Local sampling on image manifolds using diffusion models
Lorenzo Luzi, Paul M Mayer, Josue CascoRodriguez, Ali Siahkoohi, Richard Baraniuk, January 2024
[openreview] [pdf] [bib] 
Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
Fang Kong, XiangCheng Zhang, Baoxiang Wang, Shuai Li, January 2024
[openreview] [pdf] [bib] 
Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures
Vincent Abbott, January 2024
[openreview] [pdf] [bib] [code] 
DyG2Vec: Efficient Representation Learning for Dynamic Graphs
Mohammad Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates, January 2024
[openreview] [pdf] [bib] [code] 
A Survey on OutofDistribution Detection in NLP
Hao Lang, Yinhe Zheng, Yixuan Li, Jian SUN, Fei Huang, Yongbin Li, January 2024
[openreview] [pdf] [bib] 
Proximal Mean Field Learning in Shallow Neural Networks
Alexis Teter, Iman Nodozi, Abhishek Halder, January 2024
[openreview] [pdf] [bib] [code] 
Synaptic Interaction Penalty: Appropriate Penalty Term for EnergyEfficient Spiking Neural Networks
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada, January 2024
[openreview] [pdf] [bib] 
Neural Implicit Manifold Learning for TopologyAware Density Estimation
Brendan Leigh Ross, Gabriel LoaizaGanem, Anthony L. Caterini, Jesse C. Cresswell, January 2024
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Exploring Format Consistency for Instruction Tuning
Shihao Liang, Runchu Tian, Kunlun Zhu, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun, January 2024
[openreview] [pdf] [bib] [code] 
Variational Classification: A Probabilistic Generalization of the Softmax Classifier
Shehzaad Zuzar Dhuliawala, Mrinmaya Sachan, Carl Allen, January 2024
[openreview] [pdf] [bib] 
Pathologies of Predictive Diversity in Deep Ensembles
Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, John Patrick Cunningham, January 2024
[openreview] [pdf] [bib] [code]
Certifications: Featured 
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity
Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana RomeroSoriano, January 2024
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, CharbelRaphael Segerie, Micah Carroll, Andi Peng, Phillip Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca Dragan, David Krueger, Dorsa Sadigh, Dylan HadfieldMenell, December 2023
[openreview] [pdf] [bib]
Certifications: Survey 
A Survey on the Possibilities & Impossibilities of AIgenerated Text Detection
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Bedi, December 2023
[openreview] [pdf] [bib]
Certifications: Survey 
FREED++: Improving RL Agents for FragmentBased Molecule Generation by Thorough Reproduction
Alexander Telepov, Artem Tsypin, Kuzma Khrabrov, Sergey Yakukhnov, Pavel Strashnov, Petr Zhilyaev, Egor Rumiantsev, Daniel Ezhov, Manvel Avetisian, Olga Popova, Artur Kadurin, December 2023
[openreview] [pdf] [bib] [code] 
In search of projectively equivariant networks
Georg Bökman, Axel Flinth, Fredrik Kahl, December 2023
[openreview] [pdf] [bib] [code] 
Improving Native CNN Robustness with Filter Frequency Regularization
Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper, December 2023
[openreview] [pdf] [bib] [code] 
Resmax: An Alternative SoftGreedy Operator for Reinforcement Learning
Erfan Miahi, Revan MacQueen, Alex Ayoub, Abbas Masoumzadeh, Martha White, December 2023
[openreview] [pdf] [bib] [code] 
Privacy Budget Tailoring in Private Data Analysis
Daniel Alabi, Chris Wiggins, December 2023
[openreview] [pdf] [bib] 
Modular Deep Learning
Jonas Pfeiffer, Sebastian Ruder, Ivan Vulić, Edoardo Ponti, December 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Smoothed Differential Privacy
Ao Liu, YuXiang Wang, Lirong Xia, December 2023
[openreview] [pdf] [bib] [code] 
Distributed Architecture Search Over Heterogeneous Distributions
Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr, December 2023
[openreview] [pdf] [bib] [code] 
DreamEdit: Subjectdriven Image Editing
Tianle Li, Max Ku, Cong Wei, Wenhu Chen, December 2023
[openreview] [pdf] [bib] [code] 
UnIVAL: Unified Model for Image, Video, Audio and Language Tasks
Mustafa Shukor, Corentin Dancette, Alexandre Rame, Matthieu Cord, December 2023
[openreview] [pdf] [bib] [code] 
IndicTrans2: Towards HighQuality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A Chitale, A K Raghavan, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar M, Janki Atul Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M Khapra, Raj Dabre, Anoop Kunchukuttan, December 2023
[openreview] [pdf] [bib] [code] 
Towards OptimizationFriendly Binary Neural Network
Nianhui Guo, Joseph Bethge, Hong Guo, Christoph Meinel, Haojin Yang, December 2023
[openreview] [pdf] [bib] [code] 
Equivariant MuZero
Andreea Deac, Theophane Weber, George Papamakarios, December 2023
[openreview] [pdf] [bib] 
On the Efficacy of Differentially Private Fewshot Image Classification
Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago ZanellaBeguelin, Richard E Turner, Antti Honkela, December 2023
[openreview] [pdf] [bib] [code] 
Benchmarks for Physical Reasoning AI
Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, mozhgan saeidi, Animesh Garg, Helge Ritter, December 2023
[openreview] [pdf] [bib] [code]
Certifications: Survey 
StarCoder: may the source be with you!
Raymond Li, Loubna Ben allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia LI, Jenny Chim, Qian Liu, Evgenii Zheltonozhskii, Terry Yue Zhuo, Thomas Wang, Olivier Dehaene, Joel LamyPoirier, Joao Monteiro, Nicolas Gontier, MingHo Yee, Logesh Kumar Umapathi, Jian Zhu, Ben Lipkin, Muhtasham Oblokulov, Zhiruo Wang, Rudra Murthy, Jason T Stillerman, Siva Sankalp Patel, Dmitry Abulkhanov, Marco Zocca, Manan Dey, Zhihan Zhang, Urvashi Bhattacharyya, Wenhao Yu, Sasha Luccioni, Paulo Villegas, Fedor Zhdanov, Tony Lee, Nadav Timor, Jennifer Ding, Claire S Schlesinger, Hailey Schoelkopf, Jan Ebert, Tri Dao, Mayank Mishra, Alex Gu, Carolyn Jane Anderson, Brendan DolanGavitt, Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro Von Werra, Harm de Vries, December 2023
[openreview] [pdf] [bib]
Certifications: Reproducibility 
Mixture of Dynamical Variational Autoencoders for MultiSource Trajectory Modeling and Separation
Xiaoyu Lin, Laurent Girin, Xavier AlamedaPineda, December 2023
[openreview] [pdf] [bib] [code] 
Fast Slate Policy Optimization: Going Beyond PlackettLuce
Otmane Sakhi, David Rohde, Nicolas Chopin, December 2023
[openreview] [pdf] [bib] 
Error bounds and dynamics of bootstrapping in actorcritic reinforcement learning
Ahmed J Zerouali, Douglas Blair Tweed, December 2023
[openreview] [pdf] [bib] [code] 
SHAPXRT: The Shapley Value Meets Conditional Independence Testing
Jacopo Teneggi, Beepul Bharti, Yaniv Romano, Jeremias Sulam, December 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Federated Minimax Optimization with Client Heterogeneity
Pranay Sharma, Rohan Panda, Gauri Joshi, December 2023
[openreview] [pdf] [bib] 
Towards Fair Video Summarization
Anshuman Chhabra, Kartik Patwari, Chandana Kuntala, Sristi, Deepak Kumar Sharma, Prasant Mohapatra, December 2023
[openreview] [pdf] [bib] [code] 
Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior
Javier Antoran, Riccardo Barbano, Johannes Leuschner, José Miguel HernándezLobato, Bangti Jin, December 2023
[openreview] [pdf] [bib] [code] 
Early Stopping for Deep Image Prior
Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun, December 2023
[openreview] [pdf] [bib] [code] 
Image retrieval outperforms diffusion models on data augmentation
Max F Burg, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, Chris Russell, December 2023
[openreview] [pdf] [bib] 
Transport with Support: DataConditional Diffusion Bridges
Ella Tamir, Martin Trapp, Arno Solin, December 2023
[openreview] [pdf] [bib] [code] 
Local Function Complexity for Active Learning via Mixture of Gaussian Processes
Danny Panknin, Stefan Chmiela, Klaus Robert Muller, Shinichi Nakajima, December 2023
[openreview] [pdf] [bib] [code] 
Towards a General Transfer Approach for PolicyValue Networks
Dennis J. N. J. Soemers, Vegard Mella, Eric Piette, Matthew Stephenson, Cameron Browne, Olivier Teytaud, December 2023
[openreview] [pdf] [bib] [code] 
ProtoCaps: A Fast and NonIterative Capsule Network Routing Method
Miles Everett, Mingjun Zhong, Georgios Leontidis, December 2023
[openreview] [pdf] [bib] [code] 
Detecting danger in gridworlds using Gromov’s Link Condition
Thomas F Burns, Robert Tang, December 2023
[openreview] [pdf] [bib] [code] 
Partial Optimal Transport for Support Subset Selection
Bilal Riaz, Yuksel Karahan, Austin J. Brockmeier, December 2023
[openreview] [pdf] [bib] 
Wrapped $\beta$Gaussians with compact support for exact probabilistic modeling on manifolds
Sergey Troshin, Vlad Niculae, December 2023
[openreview] [pdf] [bib] [code] 
GITNet: Generalized Integral Transform for Operator Learning
Chao Wang, Alexandre H. Thiery, December 2023
[openreview] [pdf] [bib] [code] 
SemiSupervised Single Domain Generalization with LabelFree Adversarial Data Augmentation
Ronghang Zhu, Xiang Yu, Sheng Li, December 2023
[openreview] [pdf] [bib] 
Beyond Boundaries: A Novel DataAugmentation Discourse for Open Domain Generalization
Shirsha Bose, Ankit Jha, Hitesh Kandala, Biplab Banerjee, December 2023
[openreview] [pdf] [bib] 
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff Bilmes, December 2023
[openreview] [pdf] [bib] 
Revisiting TopicGuided Language Models
Carolina Zheng, Keyon Vafa, David Blei, December 2023
[openreview] [pdf] [bib] [code] 
TwoLevel ActorCritic Using Multiple Teachers
Su Zhang, Srijita Das, Sriram Ganapathi Subramanian, Matthew E. Taylor, December 2023
[openreview] [pdf] [bib] 
ECG Representation Learning with MultiModal EHR Data
Sravan Kumar Lalam, Hari Krishna Kunderu, Shayan Ghosh, Harish Kumar A, Samir Awasthi, Ashim Prasad, Francisco LopezJimenez, Zachi I Attia, Samuel Asirvatham, Paul Friedman, Rakesh Barve, Melwin Babu, November 2023
[openreview] [pdf] [bib] 
Variational Causal Dynamics: Discovering Modular World Models from Interventions
Anson Lei, Bernhard Schölkopf, Ingmar Posner, November 2023
[openreview] [pdf] [bib] 
Causal Reinforcement Learning: A Survey
Zhihong Deng, Jing Jiang, Guodong Long, Chengqi Zhang, November 2023
[openreview] [pdf] [bib]
Certifications: Survey 
RCT Rejection Sampling for Causal Estimation Evaluation
Katherine A. Keith, Sergey Feldman, David Jurgens, Jonathan Bragg, Rohit Bhattacharya, November 2023
[openreview] [pdf] [bib] [code] 
Tight conditions for when the NTK approximation is valid
Enric BoixAdserà, Etai Littwin, November 2023
[openreview] [pdf] [bib] 
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods
Avery Ma, Yangchen Pan, Amirmassoud Farahmand, November 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
DataFree DiversityBased Ensemble Selection for OneShot Federated Learning
Naibo Wang, Wenjie Feng, yuchen deng, Moming Duan, Fusheng Liu, SeeKiong Ng, November 2023
[openreview] [pdf] [bib] [code] 
Learning to reconstruct signals from binary measurements alone
Julián Tachella, Laurent Jacques, November 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Universal Graph Continual Learning
Thanh Duc Hoang, Do Viet Tung, DuyHung Nguyen, BaoSinh Nguyen, Huy Hoang Nguyen, Hung Le, November 2023
[openreview] [pdf] [bib] 
Crossclient Label Propagation for Transductive and SemiSupervised Federated Learning
Jonathan Scott, Michelle Yeo, Christoph H Lampert, November 2023
[openreview] [pdf] [bib] [code] 
MERMAIDE: Learning to Align Learners using ModelBased MetaLearning
Arundhati Banerjee, Soham Rajesh Phade, Stefano Ermon, Stephan Zheng, November 2023
[openreview] [pdf] [bib] 
Meta Continual Learning on Graphs with Experience Replay
Altay Unal, Abdullah Akgül, Melih Kandemir, Gozde Unal, November 2023
[openreview] [pdf] [bib] [code] 
Pairwise Learning with Adaptive Online Gradient Descent
Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang, November 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Improved identification accuracy in equation learning via comprehensive $\boldsymbol{R^2}$elimination and Bayesian model selection
Daniel Nickelsen, Bubacarr Bah, November 2023
[openreview] [pdf] [bib] 
Reliable Active Learning via Influence Functions
Meng Xia, Ricardo Henao, November 2023
[openreview] [pdf] [bib] 
Personalized Federated Learning with Communication Compression
El houcine Bergou, Konstantin Pavlovich Burlachenko, Aritra Dutta, Peter Richtárik, November 2023
[openreview] [pdf] [bib] 
Uncovering Unique Concept Vectors through Latent Space Decomposition
Mara Graziani, Laura O'Mahony, Anphi Nguyen, Henning Müller, Vincent Andrearczyk, November 2023
[openreview] [pdf] [bib] [code] 
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, KaShun SHUM, Tong Zhang, November 2023
[openreview] [pdf] [bib] [code] 
SANTA: Source Anchoring Network and Target Alignment for Continual Test Time Adaptation
Goirik Chakrabarty, Manogna Sreenivas, Soma Biswas, November 2023
[openreview] [pdf] [bib] [code] 
The Analysis of the Expected Change in the Classification Probability of the Predicted Label
Ruo Yang, Ping Liu, Mustafa Bilgic, November 2023
[openreview] [pdf] [bib] 
Latent State Models of Training Dynamics
Michael Y. Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho, November 2023
[openreview] [pdf] [bib] [code] 
Differentially Private Optimizers Can Learn Adversarially Robust Models
Zhiqi Bu, Yuan Zhang, November 2023
[openreview] [pdf] [bib] [code] 
Addressing caveats of neural persistence with deep graph persistence
Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke, November 2023
[openreview] [pdf] [bib] [code] 
Replayenhanced Continual Reinforcement Learning
Tiantian Zhang, Kevin Zehua Shen, Zichuan Lin, Bo Yuan, Xueqian Wang, Xiu Li, Deheng Ye, November 2023
[openreview] [pdf] [bib] [code] 
The (Un)Scalability of Informed Heuristic Function Estimation in NPHard Search Problems
Sumedh Pendurkar, Taoan Huang, Brendan Juba, Jiapeng Zhang, Sven Koenig, Guni Sharon, November 2023
[openreview] [pdf] [bib] [code] 
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking
Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff, November 2023
[openreview] [pdf] [bib] [code]
Certifications: Survey 
A Combinatorial SemiBandit Approach to Charging Station Selection for Electric Vehicles
Niklas Åkerblom, Morteza Haghir Chehreghani, November 2023
[openreview] [pdf] [bib] [code] 
Invertible Hierarchical Generative Model for Images
Heikki Timonen, Miika Aittala, Jaakko Lehtinen, November 2023
[openreview] [pdf] [bib] [code] 
PAVI: PlateAmortized Variational Inference
Louis Rouillard, Alexandre Le Bris, Thomas Moreau, Demian Wassermann, November 2023
[openreview] [pdf] [bib]
Certifications: Reproducibility 
Using Representation Expressiveness and Learnability to Evaluate SelfSupervised Learning Methods
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron Courville, Alessandro Sordoni, November 2023
[openreview] [pdf] [bib] 
Learning Multiscale Nonstationary Causal Structures
Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi, November 2023
[openreview] [pdf] [bib] 
Bag of Image Patch Embedding Behind the Success of SelfSupervised Learning
Yubei Chen, Adrien Bardes, ZENGYI LI, Yann LeCun, November 2023
[openreview] [pdf] [bib] 
OneRound Active Learning through Data Utility Learning and Proxy Models
Jiachen T. Wang, Si Chen, Ruoxi Jia, November 2023
[openreview] [pdf] [bib] 
Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies
Shivakanth Sujit, Pedro Braga, Jorg Bornschein, Samira Ebrahimi Kahou, November 2023
[openreview] [pdf] [bib] [code] 
RLTF: Reinforcement Learning from Unit Test Feedback
Jiate Liu, Yiqin Zhu, Kaiwen Xiao, QIANG FU, Xiao Han, Yang Wei, Deheng Ye, November 2023
[openreview] [pdf] [bib] [code] 
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
Dennis Grinwald, Kirill Bykov, Shinichi Nakajima, Marina MC Höhne, November 2023
[openreview] [pdf] [bib] 
Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery
Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording, Rahul Ladhania, November 2023
[openreview] [pdf] [bib] [code] 
Invariant Structure Learning for Better Generalization and Causal Explainability
Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister, November 2023
[openreview] [pdf] [bib] [code] 
Data pruning and neural scaling laws: fundamental limitations of scorebased algorithms
Fadhel Ayed, Soufiane Hayou, November 2023
[openreview] [pdf] [bib] 
Offline Reinforcement Learning with Additional Covering Distributions
Chenjie Mao, November 2023
[openreview] [pdf] [bib] 
Online model selection by learning how compositional kernels evolve
Eura Shin, Predrag Klasnja, Susan Murphy, Finale DoshiVelez, November 2023
[openreview] [pdf] [bib] [code] 
NOFLITE: Learning to Predict Individual Treatment Effect Distributions
Toon Vanderschueren, Jeroen Berrevoets, Wouter Verbeke, November 2023
[openreview] [pdf] [bib] [code] 
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas, November 2023
[openreview] [pdf] [bib] [code] 
Provably Personalized and Robust Federated Learning
Mariel Werner, Lie He, Michael Jordan, Martin Jaggi, Sai Praneeth Karimireddy, November 2023
[openreview] [pdf] [bib] 
Conditional Sampling of Variational Autoencoders via Iterated Approximate Ancestral Sampling
Vaidotas Simkus, Michael U. Gutmann, November 2023
[openreview] [pdf] [bib] [code] 
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel Gabrielsson, Mikhail Yurochkin, Justin Solomon, November 2023
[openreview] [pdf] [bib] 
A Robust BackpropagationFree Framework for Images
Timothy Zee, Alex Ororbia, Ankur Mali, Ifeoma Nwogu, November 2023
[openreview] [pdf] [bib] [code] 
MinorizationMaximization for Learning Determinantal Point Processes
Takahiro Kawashima, Hideitsu Hino, November 2023
[openreview] [pdf] [bib] [code] 
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Runlong Zhou, Zelin He, Yuandong Tian, Yi Wu, Simon Shaolei Du, November 2023
[openreview] [pdf] [bib] [code] 
Training DNNs Resilient to Adversarial and Random BitFlips by Learning Quantization Ranges
Kamran Chitsaz, Goncalo Mordido, JeanPierre David, François LeducPrimeau, November 2023
[openreview] [pdf] [bib] [code] 
FeatureAttending Recurrent Modules for Generalization in Reinforcement Learning
Wilka Torrico Carvalho, Andrew Kyle Lampinen, Kyriacos Nikiforou, Felix Hill, Murray Shanahan, November 2023
[openreview] [pdf] [bib] [code] 
Achieving Risk Control in Online Learning Settings
Shai Feldman, Liran Ringel, Stephen Bates, Yaniv Romano, November 2023
[openreview] [pdf] [bib] [code] 
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
YiFan Zhang, Hanlin Zhang, Zachary Chase Lipton, Li Erran Li, Eric Xing, November 2023
[openreview] [pdf] [bib] [code] 
GraphPNAS: Learning Probabilistic Graph Generators for Neural Architecture Search
Muchen Li, Jeffrey Yunfan Liu, Leonid Sigal, Renjie Liao, November 2023
[openreview] [pdf] [bib] [code] 
Federated Learning under Partially Disjoint Data via Manifold Reshaping
Ziqing Fan, Jiangchao Yao, Ruipeng Zhang, Lingjuan Lyu, Yanfeng Wang, Ya Zhang, November 2023
[openreview] [pdf] [bib] [code] 
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
Erik Daxberger, Siddharth Swaroop, Kazuki Osawa, Rio Yokota, Richard E Turner, José Miguel HernándezLobato, Mohammad Emtiyaz Khan, November 2023
[openreview] [pdf] [bib] 
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi, Simon Kornblith, Chitwan Saharia, Mohammad Norouzi, David J. Fleet, November 2023
[openreview] [pdf] [bib] 
ILPOMP: Mode Priors Prevent Mode Collapse when Imitating Latent Policies from Observations
Oliver Struckmeier, Ville Kyrki, November 2023
[openreview] [pdf] [bib] 
Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on GeneralPurpose Computing Platforms
Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao, November 2023
[openreview] [pdf] [bib] 
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas, November 2023
[openreview] [pdf] [bib] [code] 
SIESTA: Efficient Online Continual Learning with Sleep
Md Yousuf Harun, Jhair Gallardo, Tyler L. Hayes, Ronald Kemker, Christopher Kanan, November 2023
[openreview] [pdf] [bib] [code] 
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention
Melika Behjati, James Henderson, November 2023
[openreview] [pdf] [bib] 
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen, November 2023
[openreview] [pdf] [bib] [code] 
DPLFlow: Differentially Private Latent Flow for Scalable Sensitive Image Generation
Dihong Jiang, Sun Sun, November 2023
[openreview] [pdf] [bib] [code] 
Binary Classification under Local Label Differential Privacy Using Randomized Response Mechanisms
Shirong XU, Chendi Wang, Will Wei Sun, Guang Cheng, November 2023
[openreview] [pdf] [bib] [code] 
Learn the Time to Learn: Replay Scheduling in Continual Learning
Marcus Klasson, Hedvig Kjellstrom, Cheng Zhang, November 2023
[openreview] [pdf] [bib] [code] 
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for NonIID Data
Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy, October 2023
[openreview] [pdf] [bib] [code] 
Limitation of Characterizing Implicit Regularization by Dataindependent Functions
Leyang Zhang, ZhiQin John Xu, Tao Luo, Yaoyu Zhang, October 2023
[openreview] [pdf] [bib] 
Populationbased Evaluation in Repeated RockPaperScissors as a Benchmark for Multiagent Reinforcement Learning
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Perolat, October 2023
[openreview] [pdf] [bib] [code] 
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses
Eloi Tanguy, October 2023
[openreview] [pdf] [bib] 
Not All Causal Inference is the Same
Matej Zečević, Devendra Singh Dhami, Kristian Kersting, October 2023
[openreview] [pdf] [bib] [code] 
Homomorphic SelfSupervised Learning
T. Anderson Keller, Xavier Suau, Luca Zappella, October 2023
[openreview] [pdf] [bib] 
Multimodal Language Learning for Object Retrieval in Low Data Regimes in the Face of Missing Modalities
Kasra Darvish, Edward Raff, Francis Ferraro, Cynthia Matuszek, October 2023
[openreview] [pdf] [bib] [code] 
Worstcase Feature Risk Minimization for DataEfficient Learning
Jingshi Lei, Da Li, Chengming Xu, Liming Fang, Timothy Hospedales, Yanwei Fu, October 2023
[openreview] [pdf] [bib] 
Conformal prediction under ambiguous ground truth
David Stutz, Abhijit Guha Roy, Tatiana Matejovicova, Patricia Strachan, Ali Taylan Cemgil, Arnaud Doucet, October 2023
[openreview] [pdf] [bib] 
Towards Stability of Autoregressive Neural Operators
Michael McCabe, Peter Harrington, Shashank Subramanian, Jed Brown, October 2023
[openreview] [pdf] [bib] [code] 
$f$MICL: Understanding and Generalizing InfoNCEbased Contrastive Learning
Yiwei Lu, Guojun Zhang, Sun Sun, Hongyu Guo, Yaoliang Yu, October 2023
[openreview] [pdf] [bib] 
NonStationary Contextual Pricing with Safety Constraints
Dheeraj Baby, Jianyu Xu, YuXiang Wang, October 2023
[openreview] [pdf] [bib] 
VoLTA: VisionLanguage Transformer with WeaklySupervised LocalFeature Alignment
Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik J Shah, Yann LeCun, Rama Chellappa, October 2023
[openreview] [pdf] [bib] [code] 
Benefits of Max Pooling in Neural Networks: Theoretical and Experimental Evidence
Kyle Matoba, Nikolaos Dimitriadis, François Fleuret, October 2023
[openreview] [pdf] [bib] [code] 
Local Advantage Networks for MultiAgent Reinforcement Learning in DecPOMDPs
Raphaël Avalos, Mathieu Reymond, Ann Nowe, Diederik M Roijers, October 2023
[openreview] [pdf] [bib] 
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, kayhan Batmanghelich, October 2023
[openreview] [pdf] [bib] [code] 
Pareto ActorCritic for Equilibrium Selection in MultiAgent Reinforcement Learning
Filippos Christianos, Georgios Papoudakis, Stefano V Albrecht, October 2023
[openreview] [pdf] [bib] [code] 
Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale
Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen, October 2023
[openreview] [pdf] [bib] 
Gradient Masked Averaging for Federated Learning
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Irina Rish, Eugene Belilovsky, October 2023
[openreview] [pdf] [bib] 
Training VisionLanguage Transformers from Captions
Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G Hauptmann, Jianfeng Gao, Yonatan Bisk, October 2023
[openreview] [pdf] [bib] [code] 
Policy Gradient Algorithms Implicitly Optimize by Continuation
Adrien Bolland, Gilles Louppe, Damien Ernst, October 2023
[openreview] [pdf] [bib] 
Inverse Scaling: When Bigger Isn't Better
Ian R. McKenzie, Alexander Lyzhov, Michael Martin Pieler, Alicia Parrish, Aaron Mueller, Ameya Prabhu, Euan McLean, Xudong Shen, Joe Cavanagh, Andrew George Gritsevskiy, Derik Kauffman, Aaron T. Kirtland, Zhengping Zhou, Yuhui Zhang, Sicong Huang, Daniel Wurgaft, Max Weiss, Alexis Ross, Gabriel Recchia, Alisa Liu, Jiacheng Liu, Tom Tseng, Tomasz Korbak, Najoung Kim, Samuel R. Bowman, Ethan Perez, October 2023
[openreview] [pdf] [bib]
Certifications: Featured 
SelfAttention in Colors: Another Take on Encoding Graph Structure in Transformers
Romain Menegaux, Emmanuel Jehanno, Margot Selosse, Julien Mairal, October 2023
[openreview] [pdf] [bib] [code] 
Identifying latent distances with Finslerian geometry
Alison Pouplin, David Eklund, Carl Henrik Ek, Søren Hauberg, October 2023
[openreview] [pdf] [bib] [code] 
Discretization Invariant Networks for Learning Maps between Neural Fields
Clinton Wang, Polina Golland, October 2023
[openreview] [pdf] [bib] [code] 
Multilabel Node Classification On GraphStructured Data
Tianqi Zhao, Thi Ngan Dong, Alan Hanjalic, Megha Khosla, October 2023
[openreview] [pdf] [bib] 
Physics informed neural networks for elliptic equations with oscillatory differential operators
Arnav Gangal, Luis Kim, Sean Patrick Carney, October 2023
[openreview] [pdf] [bib] 
Greedier is Better: Selecting Multiple Neighbors per Iteration for Sparse Subspace Clustering
JwoYuh Wu, LiangChi Huang, Wen Hsuan Li, ChunHung Liu, RungHung Gau, October 2023
[openreview] [pdf] [bib] 
Distributed NewtonType Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov, Xun Qian, Slavomir Hanzely, Mher Safaryan, Peter Richtárik, October 2023
[openreview] [pdf] [bib] 
Fourier Features in Reinforcement Learning with Neural Networks
David Brellmann, David Filliat, Goran Frehse, October 2023
[openreview] [pdf] [bib] [code] 
Diagnostic Tool for OutofSample Model Evaluation
Ludvig Hult, Dave Zachariah, Peter Stoica, October 2023
[openreview] [pdf] [bib] [code] 
StragglerResilient Personalized Federated Learning
Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari, October 2023
[openreview] [pdf] [bib] [code] 
Selfsupervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson’s Disease
Fatemeh Haghighi, soumitra ghosh, Sarah Chu, Hai Ngu, Mohsen Hejrati, Han Hui Lin, Baris Bingol, Somaye Hashemifar, October 2023
[openreview] [pdf] [bib] 
Dual Cognitive Architecture: Incorporating Biases and MultiMemory Systems for Lifelong Learning
Shruthi Gowda, Bahram Zonooz, Elahe Arani, October 2023
[openreview] [pdf] [bib] [code] 
Analysis of Convolutions, Nonlinearity and Depth in Graph Neural Networks using Neural Tangent Kernel
Mahalakshmi Sabanayagam, Pascal Esser, Debarghya Ghoshdastidar, October 2023
[openreview] [pdf] [bib] [code] 
Zeroshot Node Classification with Graph Contrastive Embedding Network
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang, October 2023
[openreview] [pdf] [bib] 
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling
Alexander Tyurin, Lukang Sun, Konstantin Pavlovich Burlachenko, Peter Richtárik, October 2023
[openreview] [pdf] [bib] 
Private GANs, Revisited
Alex Bie, Gautam Kamath, Guojun Zhang, October 2023
[openreview] [pdf] [bib] [code]
Certifications: Survey 
An Analysis of ModelBased Reinforcement Learning From Abstracted Observations
Rolf A. N. Starre, Marco Loog, Elena Congeduti, Frans A Oliehoek, October 2023
[openreview] [pdf] [bib] 
The Kernel Density Integral Transformation
Calvin McCarter, October 2023
[openreview] [pdf] [bib] [code] 
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients
Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr, October 2023
[openreview] [pdf] [bib] [code] 
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi, October 2023
[openreview] [pdf] [bib] [code] 
MultiDomain LongTailed Learning by Augmenting Disentangled Representations
Xinyu Yang, Huaxiu Yao, Allan Zhou, Chelsea Finn, October 2023
[openreview] [pdf] [bib] 
Improved baselines for visionlanguage pretraining
Enrico Fini, Pietro Astolfi, Adriana RomeroSoriano, Jakob Verbeek, Michal Drozdzal, October 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
CAE v2: Context Autoencoder with CLIP Latent Alignment
Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang, October 2023
[openreview] [pdf] [bib] [code] 
Crossvalidation for Geospatial Data: Estimating Generalization Performance in Geostatistical Problems
Jing Wang, Laurel Hopkins, Tyler Hallman, W. Douglas Robinson, Rebecca Hutchinson, October 2023
[openreview] [pdf] [bib] [code] 
Adaptive Hyperparameter Selection for Differentially Private Gradient Descent
Dominik Fay, Sindri Magnússon, Jens Sjölund, Mikael Johansson, October 2023
[openreview] [pdf] [bib] 
Multiscale Causal Structure Learning
Gabriele D'Acunto, Paolo Di Lorenzo, Sergio Barbarossa, October 2023
[openreview] [pdf] [bib] [code] 
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Nonconvex Problems
TingJui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour, October 2023
[openreview] [pdf] [bib] 
Revisiting Image Classifier Training for Improved Certified Robust Defense against Adversarial Patches
Aniruddha Saha, Shuhua Yu, Mohammad Sadegh Norouzzadeh, WanYi Lin, Chaithanya Kumar Mummadi, October 2023
[openreview] [pdf] [bib] 
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
ABULIKEMU ABUDUWEILI, Changliu Liu, October 2023
[openreview] [pdf] [bib] [code] 
Learningtodefer for sequential medical decisionmaking under uncertainty
Shalmali Joshi, Sonali Parbhoo, Finale DoshiVelez, September 2023
[openreview] [pdf] [bib] 
Learning domainspecific causal discovery from time series
Xinyue Wang, Konrad Kording, September 2023
[openreview] [pdf] [bib] [code] 
Does ‘Deep Learning on a Data Diet’ reproduce? Overall yes, but GraNd at Initialization does not
Andreas Kirsch, September 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility Written by Expert Reviewer 
Dynamic Subgoalbased Exploration via Bayesian Optimization
Yijia Wang, Matthias Poloczek, Daniel R. Jiang, September 2023
[openreview] [pdf] [bib] [code] 
Gated Domain Units for Multisource Domain Generalization
Simon Föll, Alina Dubatovka, Eugen Ernst, Siu Lun Chau, Martin Maritsch, Patrik Okanovic, Gudrun Thaeter, Joachim M. Buhmann, Felix Wortmann, Krikamol Muandet, September 2023
[openreview] [pdf] [bib] [code] 
IBIA: An Incremental BuildInferApproximate Framework for Approximate Inference of Partition Function
Shivani Bathla, Vinita Vasudevan, September 2023
[openreview] [pdf] [bib] 
Revisiting Sparsity Hunting in Federated Learning: Why does Sparsity Consensus Matter?
Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr, September 2023
[openreview] [pdf] [bib] [code] 
Relating graph autoencoders to linear models
Solveig Klepper, Ulrike von Luxburg, September 2023
[openreview] [pdf] [bib] [code] 
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs
Ke Chen, Chunmei Wang, Haizhao Yang, September 2023
[openreview] [pdf] [bib] 
Label NoiseRobust Learning using a ConfidenceBased Sieving Strategy
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis, September 2023
[openreview] [pdf] [bib] [code] 
On Perfect Clustering for Gaussian Processes
Juan CuestaAlbertos, Subhajit Dutta, September 2023
[openreview] [pdf] [bib] [code] 
How Reliable is Your Regression Model's Uncertainty Under RealWorld Distribution Shifts?
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön, September 2023
[openreview] [pdf] [bib] [code] 
RIGNN: A Rationale Perspective for Semisupervised Openworld Graph Classification
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun, September 2023
[openreview] [pdf] [bib] 
SkillS: Adaptive Skill Sequencing for Efficient TemporallyExtended Exploration
Giulia Vezzani, Dhruva Tirumala, Markus Wulfmeier, Dushyant Rao, Abbas Abdolmaleki, Ben Moran, Tuomas Haarnoja, Jan Humplik, Roland Hafner, Michael Neunert, Claudio Fantacci, Tim Hertweck, Thomas Lampe, Fereshteh Sadeghi, Nicolas Heess, Martin Riedmiller, September 2023
[openreview] [pdf] [bib] 
Estimating Differential Equations from Temporal Point Processes
Shuichi Miyazawa, Daichi Mochihashi, September 2023
[openreview] [pdf] [bib] [code] 
Turning a Curse into a Blessing: Enabling InDistributionDataFree Backdoor Removal via Stabilized Model Inversion
Si Chen, Yi Zeng, Won Park, Jiachen T. Wang, Xun Chen, Lingjuan Lyu, Zhuoqing Mao, Ruoxi Jia, September 2023
[openreview] [pdf] [bib] [code] 
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada, September 2023
[openreview] [pdf] [bib] [code] 
Optimistic Optimization of Gaussian Process Samples
Julia Grosse, Cheng Zhang, Philipp Hennig, September 2023
[openreview] [pdf] [bib] [code] 
Linearized Relative Positional Encoding
Zhen Qin, Weixuan Sun, Kaiyue Lu, Hui Deng, Dongxu Li, Xiaodong Han, Yuchao Dai, Lingpeng Kong, Yiran Zhong, September 2023
[openreview] [pdf] [bib] [code] 
DPVIm: Differentially Private Variational Inference Improved
Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski, September 2023
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
RIFLE: Imputation and Robust Inference from Low Order Marginals
Sina Baharlouei, SzeChuan Suen, Meisam Razaviyayn, September 2023
[openreview] [pdf] [bib] [code] 
Offline Reinforcement Learning with Mixture of Deterministic Policies
Takayuki Osa, Akinobu Hayashi, Pranav Deo, Naoki Morihira, Takahide Yoshiike, September 2023
[openreview] [pdf] [bib] [code] 
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Andreas Kirsch, Sebastian Farquhar, Parmida Atighehchian, Andrew Jesson, Frédéric BranchaudCharron, Yarin Gal, September 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
A Survey on Transformers in Reinforcement Learning
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye, September 2023
[openreview] [pdf] [bib]
Certifications: Survey 
On the Sample Complexity of Lipschitz Constant Estimation
Julien Walden Huang, Stephen J. Roberts, JanPeter Calliess, September 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in MultiArmed Bandits
Zixin Zhong, Wang Chi Cheung, Vincent Tan, September 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Quantization Robust Federated Learning for Efficient Inference on Heterogeneous Devices
Kartik Gupta, Marios Fournarakis, Matthias Reisser, Christos Louizos, Markus Nagel, September 2023
[openreview] [pdf] [bib] 
High Fidelity Neural Audio Compression
Alexandre Défossez, Jade Copet, Gabriel Synnaeve, Yossi Adi, September 2023
[openreview] [pdf] [bib]
Certifications: Reproducibility Featured 
Fair and Useful Cohort Selection
Konstantina Bairaktari, Paul Tsela Langton, Huy Nguyen, Niklas SmedemarkMargulies, Jonathan Ullman, September 2023
[openreview] [pdf] [bib] 
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
Jan Tönshoff, Martin Ritzert, Hinrikus Wolf, Martin Grohe, September 2023
[openreview] [pdf] [bib] [code] 
Global Contrastive Learning for LongTailed Classification
Thong Bach, Anh Tong, Truong Son Hy, Vu Nguyen, Thanh NguyenTang, September 2023
[openreview] [pdf] [bib] [code] 
Approximating Naive Bayes on Unlabelled Categorical Data
Cormac Herley, September 2023
[openreview] [pdf] [bib] 
Weightbalancing fixes and flows for deep learning
Lawrence K. Saul, September 2023
[openreview] [pdf] [bib] 
$k$Mixup Regularization for Deep Learning via Optimal Transport
Kristjan Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien, September 2023
[openreview] [pdf] [bib] [code] 
HypUC: Hyperfine Uncertainty Calibration with Gradient boosted Corrections for Reliable Regression on Imbalanced Electrocardiograms
Uddeshya Upadhyay, Sairam Bade, Arjun Puranik, Shahir Asfahan, Melwin Babu, Francisco LopezJimenez, Samuel Asirvatham, Ashim Prasad, Ajit Rajasekharan, Samir Awasthi, Rakesh Barve, September 2023
[openreview] [pdf] [bib] 
AP: Selective Activation for Desparsifying Pruned Networks
Shiyu Liu, Rohan Ghosh, Mehul Motani, September 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
TSMixer: An AllMLP Architecture for Time Series Forecasting
SiAn Chen, ChunLiang Li, Sercan O Arik, Nathanael Christian Yoder, Tomas Pfister, September 2023
[openreview] [pdf] [bib] [code] 
Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Dovile Juodelyte, Amelia JiménezSánchez, Veronika Cheplygina, September 2023
[openreview] [pdf] [bib] [code] 
The Geometry of Mixability
Armando J Cabrera Pacheco, Robert Williamson, September 2023
[openreview] [pdf] [bib] 
Neural Causal Structure Discovery from Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael Curtis Mozer, Christopher Pal, Yoshua Bengio, September 2023
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Evaluating HumanLanguage Model Interaction
Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines GerardUrsin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang, September 2023
[openreview] [pdf] [bib] [code] 
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression
Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, F Lee Hartsell, Katherine A Heller, Subhrajit Roy, September 2023
[openreview] [pdf] [bib] 
Differentially Private Diffusion Models
Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis, September 2023
[openreview] [pdf] [bib] [code] 
On the special role of classselective neurons in early training
Omkar Ranadive, Nikhil Thakurdesai, Ari S. Morcos, Matthew L Leavitt, Stephane Deny, September 2023
[openreview] [pdf] [bib] [code] 
Multiannotator Deep Learning: A Probabilistic Framework for Classification
Marek Herde, Denis Huseljic, Bernhard Sick, September 2023
[openreview] [pdf] [bib] [code] 
Learning to Optimize QuasiNewton Methods
Isaac Liao, Rumen Dangovski, Jakob Nicolaus Foerster, Marin Soljacic, September 2023
[openreview] [pdf] [bib] [code] 
Task Weighting in Metalearning with Trajectory Optimisation
Cuong C. Nguyen, ThanhToan Do, Gustavo Carneiro, September 2023
[openreview] [pdf] [bib] [code] 
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than Constant Stepsize
Mert Gurbuzbalaban, Yuanhan Hu, Umut Simsekli, Lingjiong Zhu, September 2023
[openreview] [pdf] [bib] [code] 
A probabilistic Taylor expansion with Gaussian processes
Toni Karvonen, Jon Cockayne, Filip Tronarp, Simo Särkkä, September 2023
[openreview] [pdf] [bib] 
Bridging the Gap Between Target Networks and Functional Regularization
Alexandre Piché, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan, September 2023
[openreview] [pdf] [bib] [code] 
HERMES: Hybrid Errorcorrector Model with inclusion of External Signals for nonstationary fashion time series
Etienne David, Jean Bellot, Sylvain Le Corff, September 2023
[openreview] [pdf] [bib] [code] 
Detecting incidental correlation in multimodal learning via latent variable modeling
Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho, September 2023
[openreview] [pdf] [bib] [code] 
Fast Kernel Methods for Generic Lipschitz Losses via $p$Sparsified Sketches
Tamim El Ahmad, Pierre Laforgue, Florence d'AlchéBuc, September 2023
[openreview] [pdf] [bib] [code] 
SinglePass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph
Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao, September 2023
[openreview] [pdf] [bib] [code] 
Variational Elliptical Processes
Maria Margareta Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön, September 2023
[openreview] [pdf] [bib] [code] 
Mitigating Confirmation Bias in Semisupervised Learning via Efficient Bayesian Model Averaging
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava, September 2023
[openreview] [pdf] [bib] [code] 
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan, Emam Hossain, Md Osman Gani, September 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent
Da Yu, Gautam Kamath, Janardhan Kulkarni, TieYan Liu, Jian Yin, Huishuai Zhang, September 2023
[openreview] [pdf] [bib] 
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range
Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn, September 2023
[openreview] [pdf] [bib] [code] 
Faster Training of Neural ODEs Using Gauß–Legendre Quadrature
Alexander Luke Ian Norcliffe, Marc Peter Deisenroth, September 2023
[openreview] [pdf] [bib] [code] 
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting
Viraj Uday Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, YuanHong Liao, Judy Hoffman, Sanja Fidler, James Lucas, September 2023
[openreview] [pdf] [bib] 
Efficient Inference With Model Cascades
Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K Muller, September 2023
[openreview] [pdf] [bib] 
Semantic Representations of Mathematical Expressions in a Continuous Vector Space
Neeraj Gangwar, Nickvash Kani, September 2023
[openreview] [pdf] [bib] [code] 
WOODS: Benchmarks for OutofDistribution Generalization in Time Series
JeanChristophe GagnonAudet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish, September 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Representations and Computations in Transformers that Support Generalization on Structured Tasks
Yuxuan Li, James McClelland, September 2023
[openreview] [pdf] [bib] [code] 
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting, September 2023
[openreview] [pdf] [bib] [code] 
An OptionDependent Analysis of Regret Minimization Algorithms in FiniteHorizon SemiMDP
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli, September 2023
[openreview] [pdf] [bib] 
On Adaptivity in Quantum Testing
Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir, September 2023
[openreview] [pdf] [bib] 
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill, Neset TAN, Michael Witbrock, Patricia J. Riddle, August 2023
[openreview] [pdf] [bib] [code] 
Subgraph Permutation Equivariant Networks
Joshua Mitton, Roderick MurraySmith, August 2023
[openreview] [pdf] [bib] 
About the Cost of Central Privacy in Density Estimation
Clément Lalanne, Aurélien Garivier, Rémi Gribonval, August 2023
[openreview] [pdf] [bib] 
Some Remarks on Identifiability of Independent Component Analysis in Restricted Function Classes
Simon Buchholz, August 2023
[openreview] [pdf] [bib] 
You Only Transfer What You Share: IntersectionInduced Graph Transfer Learning for Link Prediction
Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian, August 2023
[openreview] [pdf] [bib] 
LogisticNormal Likelihoods for Heteroscedastic Label Noise
Erik Englesson, Amir Mehrpanah, Hossein Azizpour, August 2023
[openreview] [pdf] [bib] [code] 
RECLIP: Resourceefficient CLIP by Training with Small Images
Runze Li, Dahun Kim, Bir Bhanu, Weicheng Kuo, August 2023
[openreview] [pdf] [bib] 
Reinforcement Learning with Delayed, Composite, and Partially Anonymous Reward
Washim Uddin Mondal, Vaneet Aggarwal, August 2023
[openreview] [pdf] [bib] 
Towards Multispatiotemporalscale Generalized PDE Modeling
Jayesh K Gupta, Johannes Brandstetter, August 2023
[openreview] [pdf] [bib] 
The Multiquadric Kernel for MomentMatching Distributional Reinforcement Learning
Ludvig Killingberg, Helge Langseth, August 2023
[openreview] [pdf] [bib] [code] 
Nonconvexnonconcave minmax optimization on Riemannian manifolds
Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao, August 2023
[openreview] [pdf] [bib] 
Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring
Shanchao Yang, MA KAILI, Baoxiang Wang, Tianshu Yu, Hongyuan Zha, August 2023
[openreview] [pdf] [bib] [code] 
Simulate Timeintegrated Coarsegrained Molecular Dynamics with Multiscale Graph Networks
Xiang Fu, Tian Xie, Nathan J. Rebello, Bradley Olsen, Tommi S. Jaakkola, August 2023
[openreview] [pdf] [bib] [code] 
MetaCalibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal, Yongxin Yang, Timothy Hospedales, August 2023
[openreview] [pdf] [bib] [code] 
Holistic Evaluation of Language Models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Alexander Cosgrove, Christopher D Manning, Christopher Re, Diana AcostaNavas, Drew Arad Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue WANG, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda, August 2023
[openreview] [pdf] [bib]
Certifications: Featured Written by Expert Reviewer 
Understanding convolution on graphs via energies
Francesco Di Giovanni, James Rowbottom, Benjamin Paul Chamberlain, Thomas Markovich, Michael M. Bronstein, August 2023
[openreview] [pdf] [bib] [code] 
Diffusion Models for Constrained Domains
Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael John Hutchinson, August 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
OneStep Distributional Reinforcement Learning
Mastane Achab, Reda ALAMI, YASSER ABDELAZIZ DAHOU DJILALI, Kirill Fedyanin, Eric Moulines, August 2023
[openreview] [pdf] [bib] [code] 
Dual Representation Learning for Outofdistribution Detection
Zhilin Zhao, Longbing Cao, August 2023
[openreview] [pdf] [bib] [code] 
Cyclophobic Reinforcement Learning
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling, August 2023
[openreview] [pdf] [bib] 
Neural Ordinary Differential Equations for Modeling Epidemic Spreading
Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, JeanMarc Steyaert, Michalis Vazirgiannis, August 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured Written by Expert Reviewer 
RotationInvariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
Owen Melia, Eric M Jonas, Rebecca Willett, August 2023
[openreview] [pdf] [bib] 
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, franco scarselli, Andrea Passerini, August 2023
[openreview] [pdf] [bib] 
A Systematic Approach to Universal Random Features in Graph Neural Networks
Billy Joe Franks, Markus Anders, Marius Kloft, Pascal Schweitzer, August 2023
[openreview] [pdf] [bib] [code] 
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari, Michaël Perrot, August 2023
[openreview] [pdf] [bib] [code] 
V1T: largescale mouse V1 response prediction using a Vision Transformer
Bryan M. Li, Isabel Maria Cornacchia, Nathalie Rochefort, Arno Onken, August 2023
[openreview] [pdf] [bib] [code] 
Novel Class Discovery for Longtailed Recognition
Chuyu Zhang, Ruijie Xu, Xuming He, August 2023
[openreview] [pdf] [bib] [code] 
Asymptotic Analysis of Conditioned Stochastic Gradient Descent
Rémi Leluc, François Portier, August 2023
[openreview] [pdf] [bib] [code] 
Learned Thresholds Token Merging and Pruning for Vision Transformers
Maxim Bonnaerens, Joni Dambre, August 2023
[openreview] [pdf] [bib] [code] 
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
Weicheng Kuo, AJ Piergiovanni, Dahun Kim, xiyang luo, Benjamin Caine, Wei Li, Abhijit Ogale, Luowei Zhou, Andrew M. Dai, Zhifeng Chen, Claire Cui, Anelia Angelova, August 2023
[openreview] [pdf] [bib] 
Chasing Better Deep Image Priors between Over and Underparameterization
Qiming Wu, Xiaohan Chen, Yifan Jiang, Zhangyang Wang, August 2023
[openreview] [pdf] [bib] [code] 
Federated HighDimensional Online Decision Making
ChiHua Wang, Wenjie Li, Guang Lin, August 2023
[openreview] [pdf] [bib] 
Regret Bounds for Satisficing in MultiArmed Bandit Problems
Thomas Michel, Hossein Hajiabolhassan, Ronald Ortner, August 2023
[openreview] [pdf] [bib] 
Using Confounded Data in Latent ModelBased Reinforcement Learning
Maxime Gasse, Damien GRASSET, Guillaume Gaudron, PierreYves Oudeyer, August 2023
[openreview] [pdf] [bib] [code] 
MetaLearning via Classifier(free) Diffusion Guidance
Elvis Nava, Seijin Kobayashi, Yifei Yin, Robert K. Katzschmann, Benjamin F Grewe, August 2023
[openreview] [pdf] [bib] [code] 
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani, August 2023
[openreview] [pdf] [bib] [code] 
Foiling Explanations in Deep Neural Networks
Snir Vitrack Tamam, Raz Lapid, Moshe Sipper, August 2023
[openreview] [pdf] [bib] [code] 
Longterm Forecasting with TiDE: Timeseries Dense Encoder
Abhimanyu Das, Weihao Kong, Andrew Leach, Shaan K Mathur, Rajat Sen, Rose Yu, August 2023
[openreview] [pdf] [bib] [code] 
Empirical Limitations of the NTK for Understanding Scaling Laws in Deep Learning
Nikhil Vyas, Yamini Bansal, Preetum Nakkiran, August 2023
[openreview] [pdf] [bib] 
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport
Liyi Zhang, David Blei, Christian A Naesseth, August 2023
[openreview] [pdf] [bib] [code] 
Distributionally Robust Classification on a Data Budget
Benjamin Feuer, Ameya Joshi, Minh Pham, Chinmay Hegde, August 2023
[openreview] [pdf] [bib] [code] 
The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain
Arsenii Kirillovich Moskvichev, Victor Vikram Odouard, Melanie Mitchell, August 2023
[openreview] [pdf] [bib] [code] 
Adaptive Compression for CommunicationEfficient Distributed Training
Maksim Makarenko, Elnur Gasanov, Abdurakhmon Sadiev, Rustem Islamov, Peter Richtárik, August 2023
[openreview] [pdf] [bib] [code] 
Expected Worst Case Regret via Stochastic Sequential Covering
Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski, August 2023
[openreview] [pdf] [bib] 
Robust Alzheimer's Progression Modeling using CrossDomain SelfSupervised Deep Learning
Saba Dadsetan, Mohsen Hejrati, Shandong Wu, Somaye Hashemifar, August 2023
[openreview] [pdf] [bib] 
Learning Augmentation Distributions using Transformed Risk Minimization
Evangelos Chatzipantazis, Stefanos Pertigkiozoglou, Kostas Daniilidis, Edgar Dobriban, August 2023
[openreview] [pdf] [bib] 
Structured LowRank Tensors for Generalized Linear Models
Batoul Ahmad Taki, Anand Sarwate, Waheed U. Bajwa, August 2023
[openreview] [pdf] [bib] 
Scalable Stochastic Gradient Riemannian Langevin Dynamics in NonDiagonal Metrics
Hanlin Yu, Marcelo Hartmann, Bernardo Williams, Arto Klami, August 2023
[openreview] [pdf] [bib] [code] 
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh, August 2023
[openreview] [pdf] [bib] [code] 
mLBFGS: A Momentumbased LBFGS for Distributed Largescale Neural Network Optimization
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr, August 2023
[openreview] [pdf] [bib] 
Mitigating RealWorld Distribution Shifts in the Fourier Domain
Kiran Krishnamachari, SeeKiong Ng, ChuanSheng Foo, August 2023
[openreview] [pdf] [bib] 
Learning representations that are closedform Monge mapping optimal with application to domain adaptation
Oliver Struckmeier, Ievgen Redko, Anton Mallasto, Karol Arndt, Markus Heinonen, Ville Kyrki, August 2023
[openreview] [pdf] [bib] [code] 
Learning from timedependent streaming data with online stochastic algorithms
Antoine GodichonBaggioni, Nicklas Werge, Olivier Wintenberger, August 2023
[openreview] [pdf] [bib] 
DoCoM: Compressed Decentralized Optimization with NearOptimal Sample Complexity
ChungYiu Yau, Hoi To Wai, August 2023
[openreview] [pdf] [bib] [code] 
Neural Monge Map estimation and its applications
Jiaojiao Fan, Shu Liu, Shaojun Ma, HaoMin Zhou, Yongxin Chen, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
Dominic Masters, Josef Dean, Kerstin Klaeser, Zhiyi Li, Samuel MaddrellMander, Adam Sanders, Hatem Helal, Deniz Beker, Andrew William Fitzgibbon, Shenyang Huang, Ladislav Rampášek, Dominique Beaini, July 2023
[openreview] [pdf] [bib] [code] 
Tackling Provably Hard Representative Selection via Graph Neural Networks
Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni, July 2023
[openreview] [pdf] [bib] [code] 
Improved Group Robustness via Classifier Retraining on Independent Splits
Thien Hang Nguyen, Hongyang R. Zhang, Huy Nguyen, July 2023
[openreview] [pdf] [bib] [code] 
Executionbased Code Generation using Deep Reinforcement Learning
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy, July 2023
[openreview] [pdf] [bib] [code] 
TabCBM: Conceptbased Interpretable Neural Networks for Tabular Data
Mateo Espinosa Zarlenga, Zohreh Shams, Michael Edward Nelson, Been Kim, Mateja Jamnik, July 2023
[openreview] [pdf] [bib] [code] 
Spectral learning of Bernoulli linear dynamical systems models for decisionmaking
Iris R Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow, July 2023
[openreview] [pdf] [bib] [code] 
SelfSupervision is All You Need for Solving Rubik’s Cube
Kyo Takano, July 2023
[openreview] [pdf] [bib] [code] 
Towards Better Generalization with Flexible Representation of MultiModule Graph Neural Networks
HyunGeun Lee, Kijung Yoon, July 2023
[openreview] [pdf] [bib] 
Assisting Human Decisions in Document Matching
Joon Sik Kim, Valerie Chen, Danish Pruthi, Nihar B Shah, Ameet Talwalkar, July 2023
[openreview] [pdf] [bib] [code] 
Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne, July 2023
[openreview] [pdf] [bib] [code] 
JiangJun: Mastering Xiangqi by Tackling NonTransitivity in TwoPlayer ZeroSum Games
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang, July 2023
[openreview] [pdf] [bib] [code] 
Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou, July 2023
[openreview] [pdf] [bib] [code] 
Data Augmentation is a Hyperparameter: Cherrypicked SelfSupervision for Unsupervised Anomaly Detection is Creating the Illusion of Success
Jaemin Yoo, Tiancheng Zhao, Leman Akoglu, July 2023
[openreview] [pdf] [bib] [code] 
Data Distillation: A Survey
Noveen Sachdeva, Julian McAuley, July 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Catastrophic overfitting can be induced with discriminative nonrobust features
Guillermo OrtizJimenez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip Torr, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Finding and Only Finding Differential Nash Equilibria by Both Pretending to be a Follower
Xuchan Bao, Guodong Zhang, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger, Paul Hagemann, Gabriele Steidl, July 2023
[openreview] [pdf] [bib] 
A Characteristic Function for ShapleyValueBased Attribution of Anomaly Scores
Naoya Takeishi, Yoshinobu Kawahara, July 2023
[openreview] [pdf] [bib] [code] 
The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science
Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings, July 2023
[openreview] [pdf] [bib] [code] 
Differentiable Logic Machines
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui JIANG, Jianyi Zhang, Paul Weng, Dong Li, Jianye HAO, Wulong Liu, July 2023
[openreview] [pdf] [bib] 
VulnerabilityAware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian, July 2023
[openreview] [pdf] [bib] 
Lifelong Reinforcement Learning with Modulating Masks
Eseoghene BenIwhiwhu, Saptarshi Nath, Praveen Kumar Pilly, Soheil Kolouri, Andrea Soltoggio, July 2023
[openreview] [pdf] [bib] [code] 
Semantic Selfadaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth, July 2023
[openreview] [pdf] [bib] [code] 
Fair Kernel Regression through CrossCovariance Operators
Adrian PerezSuay, Paula Gordaliza, JeanMichel Loubes, Dino Sejdinovic, Gustau CampsValls, July 2023
[openreview] [pdf] [bib] [code] 
POMRL: NoRegret LearningtoPlan with Increasing Horizons
Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
The ScoreDifference Flow for Implicit Generative Modeling
Romann M. Weber, July 2023
[openreview] [pdf] [bib] 
OffPolicy Evaluation with OutofSample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann, July 2023
[openreview] [pdf] [bib] [code] 
On the Gradient Formula for learning Generative Models with Regularized Optimal Transport Costs
Antoine Houdard, Arthur Leclaire, Nicolas Papadakis, Julien Rabin, July 2023
[openreview] [pdf] [bib] 
Understanding SelfSupervised Pretraining with PartAware Representation Learning
Jie Zhu, Jiyang Qi, Mingyu Ding, Xiaokang Chen, Ping Luo, Xinggang Wang, Wenyu Liu, Leye Wang, Jingdong Wang, July 2023
[openreview] [pdf] [bib] 
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degreebased Sparsification
Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, SooHyun Choi, Xia Hu, July 2023
[openreview] [pdf] [bib] 
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu, Qi Zeng, Gagandeep Singh, July 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
Cong Lu, Philip J. Ball, Tim G. J. Rudner, Jack ParkerHolder, Michael A Osborne, Yee Whye Teh, July 2023
[openreview] [pdf] [bib] [code] 
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
Gregory Plumb, Nari Johnson, Angel Cabrera, Ameet Talwalkar, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
On the Predictive Accuracy of Neural Temporal Point Process Models for Continuoustime Event Data
Tanguy Bosser, Souhaib Ben Taieb, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Survey 
Mind the Gap: Mitigating the Distribution Gap in Graph Fewshot Learning
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang, July 2023
[openreview] [pdf] [bib] 
Augmented Language Models: a Survey
Grégoire Mialon, Roberto Dessi, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Roziere, Timo Schick, Jane DwivediYu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, Thomas Scialom, July 2023
[openreview] [pdf] [bib]
Certifications: Survey 
BlackBox Batch Active Learning for Regression
Andreas Kirsch, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Consistent Collaborative Filtering via Tensor Decomposition
Shiwen Zhao, Guillermo Sapiro, July 2023
[openreview] [pdf] [bib] [code] 
Provably Convergent Policy Optimization via Metricaware Trust Region Methods
Jun Song, Niao He, Lijun Ding, Chaoyue Zhao, July 2023
[openreview] [pdf] [bib] [code] 
Adjusting Machine Learning Decisions for Equal Opportunity and Counterfactual Fairness
Yixin Wang, Dhanya Sridhar, David Blei, July 2023
[openreview] [pdf] [bib] 
On AverageCase Error Bounds for KernelBased Bayesian Quadrature
Xu Cai, Thanh Lam, Jonathan Scarlett, July 2023
[openreview] [pdf] [bib] [code] 
SelfSupervised Graph Representation Learning for Neuronal Morphologies
Marissa A. Weis, Laura Pede, Timo Lüddecke, Alexander S Ecker, July 2023
[openreview] [pdf] [bib] [code] 
Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
Junhyun Nam, Sangwoo Mo, Jaeho Lee, Jinwoo Shin, July 2023
[openreview] [pdf] [bib] 
Stochastic Constrained DRO with a Complexity Independent of Sample Size
Qi Qi, Jiameng Lyu, KungSik Chan, ErWei Bai, Tianbao Yang, July 2023
[openreview] [pdf] [bib] [code] 
Neural Networks beyond explainability: Selective inference for sequence motifs
Antoine Villié, Philippe Veber, Yohann De Castro, Laurent Jacob, July 2023
[openreview] [pdf] [bib] [code] 
Stochastic gradient updates yield deep equilibrium kernels
Russell Tsuchida, Cheng Soon Ong, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Dynamics Adapted Imitation Learning
Zixuan Liu, Liu Liu, Bingzhe Wu, Lanqing Li, Xueqian Wang, Bo Yuan, Peilin Zhao, July 2023
[openreview] [pdf] [bib] [code] 
A Proximal Algorithm for Sampling
Jiaming Liang, Yongxin Chen, July 2023
[openreview] [pdf] [bib] [code] 
The MetaEvaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Anna Hedström, Philine Lou Bommer, Kristoffer Knutsen Wickstrøm, Wojciech Samek, Sebastian Lapuschkin, Marina MC Höhne, July 2023
[openreview] [pdf] [bib] [code] 
Calibrating and Improving Graph Contrastive Learning
MA KAILI, Garry YANG, Han Yang, Yongqiang Chen, James Cheng, July 2023
[openreview] [pdf] [bib] [code] 
Supervised Knowledge May Hurt Novel Class Discovery Performance
ZIYUN LI, Jona Otholt, Ben Dai, Di Hu, Christoph Meinel, Haojin Yang, July 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne, July 2023
[openreview] [pdf] [bib] [code] 
The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng, July 2023
[openreview] [pdf] [bib] [code] 
Contextual Combinatorial Multioutput GP Bandits with Group Constraints
Sepehr Elahi, Baran Atalar, Sevda Öğüt, Cem Tekin, July 2023
[openreview] [pdf] [bib] [code] 
Active Acquisition for Multimodal Temporal Data: A Challenging DecisionMaking Task
Jannik Kossen, Cătălina Cangea, Eszter Vértes, Andrew Jaegle, Viorica Patraucean, Ira Ktena, Nenad Tomasev, Danielle Belgrave, June 2023
[openreview] [pdf] [bib] 
Learning Symbolic Rules for Reasoning in QuasiNatural Language
Kaiyu Yang, Jia Deng, June 2023
[openreview] [pdf] [bib] [code] 
CoCoFL: Communication and ComputationAware Federated Learning via Partial NN Freezing and Quantization
Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Joerg Henkel, June 2023
[openreview] [pdf] [bib] [code] 
Online Minmax Problems with Nonconvexity and Nonstationarity
Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang, June 2023
[openreview] [pdf] [bib] 
On the Robustness of Dataset Inference
Sebastian Szyller, Rui Zhang, Jian Liu, N Asokan, June 2023
[openreview] [pdf] [bib] 
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu, Matthew B. Blaschko, June 2023
[openreview] [pdf] [bib] [code] 
SC2 Benchmark: Supervised Compression for Split Computing
Yoshitomo Matsubara, Ruihan Yang, Marco Levorato, Stephan Mandt, June 2023
[openreview] [pdf] [bib] [code] 
Inherent Limits on TopologyBased Link Prediction
Justus Isaiah Hibshman, Tim Weninger, June 2023
[openreview] [pdf] [bib] [code] 
InstanceAdaptive Video Compression: Improving Neural Codecs by Training on the Test Set
Ties van Rozendaal, Johann Brehmer, Yunfan Zhang, Reza Pourreza, Auke J. Wiggers, Taco Cohen, June 2023
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar, June 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic NearestNeighbor Kernel Density Approach
Florian Lalande, Kenji Doya, June 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Invariant Feature Coding using Tensor Product Representation
YUSUKE Mukuta, Tatsuya Harada, June 2023
[openreview] [pdf] [bib] 
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola Emmanuel Olatunji, Thorben Funke, Megha Khosla, June 2023
[openreview] [pdf] [bib] [code] 
Sequential Query Encoding for Complex Query Answering on Knowledge Graphs
Jiaxin Bai, Tianshi Zheng, Yangqiu Song, June 2023
[openreview] [pdf] [bib] [code] 
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard, June 2023
[openreview] [pdf] [bib] 
An Explicit Expansion of the KullbackLeibler Divergence along its FisherRao Gradient Flow
Carles DomingoEnrich, AramAlexandre Pooladian, June 2023
[openreview] [pdf] [bib] 
Training with MixedPrecision FloatingPoint Assignments
Wonyeol Lee, Rahul Sharma, Alex Aiken, June 2023
[openreview] [pdf] [bib] 
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar, Evan Peters, Cengiz Pehlevan, Stefan M. Wild, Ruslan Shaydulin, June 2023
[openreview] [pdf] [bib] 
PrivacyPreserving EnergyBased Generative Models for Marginal Distribution Protection
Robert E. Tillman, Tucker Balch, Manuela Veloso, June 2023
[openreview] [pdf] [bib] 
Unsupervised Discovery and Composition of Object Light Fields
Cameron Omid Smith, HongXing Yu, Sergey Zakharov, Fredo Durand, Joshua B. Tenenbaum, Jiajun Wu, Vincent Sitzmann, June 2023
[openreview] [pdf] [bib] [code] 
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes
Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland, June 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Pareto Optimization for Active Learning under OutofDistribution Data Scenarios
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan, June 2023
[openreview] [pdf] [bib] [code] 
Predicting OutofDomain Generalization with Neighborhood Invariance
Nathan Hoyen Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi, June 2023
[openreview] [pdf] [bib] 
Empirical Study on Optimizer Selection for OutofDistribution Generalization
Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas, June 2023
[openreview] [pdf] [bib] [code] 
The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks
James B Simon, Madeline Dickens, Dhruva Karkada, Michael Deweese, June 2023
[openreview] [pdf] [bib] [code] 
Unsupervised Domain Adaptation via Minimized Joint Error
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada, June 2023
[openreview] [pdf] [bib] [code] 
LEAD: MinMax Optimization from a Physical Perspective
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas, June 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
On Averaging ROC Curves
Jack Hogan, Niall M. Adams, June 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Niladri S. Chatterji, Saminul Haque, Tatsunori Hashimoto, June 2023
[openreview] [pdf] [bib] 
On the Convergence and Calibration of Deep Learning with Differential Privacy
Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long, June 2023
[openreview] [pdf] [bib] [code] 
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods
Tiago Salvador, Kilian FATRAS, Ioannis Mitliagkas, Adam M Oberman, June 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
AttentionalBiased Stochastic Gradient Descent
Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang, June 2023
[openreview] [pdf] [bib] [code] 
Reinforcement Teaching
Calarina Muslimani, Alex Lewandowski, Dale Schuurmans, Matthew E. Taylor, Jun Luo, June 2023
[openreview] [pdf] [bib] [code] 
TestTime Adaptation for Visual Document Understanding
Sayna Ebrahimi, Sercan O Arik, Tomas Pfister, June 2023
[openreview] [pdf] [bib] 
Learning to Incentivize Improvements from Strategic Agents
Yatong Chen, Jialu Wang, Yang Liu, June 2023
[openreview] [pdf] [bib] [code] 
Finding Competence Regions in Domain Generalization
Jens Müller, Stefan T. Radev, Robert Schmier, Felix Draxler, Carsten Rother, Ullrich Koethe, June 2023
[openreview] [pdf] [bib] [code] 
Noiserobust Graph Learning by Estimating and Leveraging Pairwise Interactions
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang, June 2023
[openreview] [pdf] [bib] [code] 
3DAware Video Generation
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas Guibas, Luc Van Gool, Radu Timofte, June 2023
[openreview] [pdf] [bib] [code] 
Bounded Space Differentially Private Quantiles
Daniel Alabi, Omri BenEliezer, Anamay Chaturvedi, June 2023
[openreview] [pdf] [bib] 
The Stack: 3 TB of permissively licensed source code
Denis Kocetkov, Raymond Li, Loubna Ben allal, Jia LI, Chenghao Mou, Yacine Jernite, Margaret Mitchell, Carlos Muñoz Ferrandis, Sean Hughes, Thomas Wolf, Dzmitry Bahdanau, Leandro Von Werra, Harm de Vries, June 2023
[openreview] [pdf] [bib] [code] 
Exploring the Approximation Capabilities of Multiplicative Neural Networks for Smooth Functions
Ido BenShaul, Tomer Galanti, Shai Dekel, June 2023
[openreview] [pdf] [bib] 
Assuming Locally Equal Calibration Errors for NonParametric Multiclass Calibration
Kaspar Valk, Meelis Kull, June 2023
[openreview] [pdf] [bib] [code] 
Learning Graph Structure from Convolutional Mixtures
Max Wasserman, Saurabh Sihag, Gonzalo Mateos, Alejandro Ribeiro, June 2023
[openreview] [pdf] [bib] [code] 
Learning ObjectCentric Neural Scattering Functions for Freeviewpoint Relighting and Scene Composition
HongXing Yu, Michelle Guo, Alireza Fathi, YenYu Chang, Eric Ryan Chan, Ruohan Gao, Thomas Funkhouser, Jiajun Wu, June 2023
[openreview] [pdf] [bib] [code] 
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge A Mendez, ERIC EATON, June 2023
[openreview] [pdf] [bib]
Certifications: Survey Event: CoLLAs 2023 
Contextualize Me – The Case for Context in Reinforcement Learning
Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer, June 2023
[openreview] [pdf] [bib] [code] 
Multidimensional concept discovery (MCD): A unifying framework with completeness guarantees
Johanna Vielhaben, Stefan Bluecher, Nils Strodthoff, June 2023
[openreview] [pdf] [bib] [code] 
DrFairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data
Yuji Roh, Weili Nie, DeAn Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar, June 2023
[openreview] [pdf] [bib] [code] 
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali RamezaniKebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher, June 2023
[openreview] [pdf] [bib] [code] 
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju, June 2023
[openreview] [pdf] [bib] 
The Robustness Limits of SoTA Vision Models to Natural Variation
Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt, June 2023
[openreview] [pdf] [bib] 
Robust MultiAgent Reinforcement Learning with State Uncertainty
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao, June 2023
[openreview] [pdf] [bib] [code] 
Optimumstatistical Collaboration Towards General and Efficient Blackbox Optimization
Wenjie Li, ChiHua Wang, Guang Cheng, Qifan Song, June 2023
[openreview] [pdf] [bib] 
An Adaptive HalfSpace Projection Method for Stochastic Optimization Problems with Group Sparse Regularization
Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson, June 2023
[openreview] [pdf] [bib] [code] 
Causallyguided Regularization of Graph Attention Improves Generalizability
Alexander P Wu, Thomas Markovich, Bonnie Berger, Nils Yannick Hammerla, Rohit Singh, May 2023
[openreview] [pdf] [bib] 
Analyzing Deep PACBayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection
Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, TsuiWei Weng, May 2023
[openreview] [pdf] [bib] 
HighModality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for HighModality Representation Learning
Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, LouisPhilippe Morency, Russ Salakhutdinov, May 2023
[openreview] [pdf] [bib] [code] 
Learning Interpolations between Boltzmann Densities
Bálint Máté, François Fleuret, May 2023
[openreview] [pdf] [bib] [code] 
Retiring $\Delta \text{DP}$: New DistributionLevel Metrics for Demographic Parity
Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu, May 2023
[openreview] [pdf] [bib] [code] 
Generating Adversarial Examples with Task Oriented MultiObjective Optimization
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung, May 2023
[openreview] [pdf] [bib] [code] 
AuxDrop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices
Calypso Herrera, Florian Krach, Anastasis Kratsios, Pierre Ruyssen, Josef Teichmann, May 2023
[openreview] [pdf] [bib] 
MeanField Control based Approximation of MultiAgent Reinforcement Learning in Presence of a Nondecomposable Shared Global State
Washim Uddin Mondal, Vaneet Aggarwal, Satish Ukkusuri, May 2023
[openreview] [pdf] [bib] [code] 
Interpretable Mixture of Experts
Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister, May 2023
[openreview] [pdf] [bib] 
Comparative Generalization Bounds for Deep Neural Networks
Tomer Galanti, Liane Galanti, Ido BenShaul, May 2023
[openreview] [pdf] [bib] 
Learning to correct spectral methods for simulating turbulent flows
Gideon Dresdner, Dmitrii Kochkov, Peter Christian Norgaard, Leonardo ZepedaNunez, Jamie Smith, Michael Brenner, Stephan Hoyer, May 2023
[openreview] [pdf] [bib] [code] 
CoxHawkes: doubly stochastic spatiotemporal Poisson processes
Xenia Miscouridou, Samir Bhatt, George Mohler, Seth Flaxman, Swapnil Mishra, May 2023
[openreview] [pdf] [bib] 
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely, Boxin Zhao, mladen kolar, May 2023
[openreview] [pdf] [bib] [code] 
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via BestResponse Diversity
Arrasy Rahman, Elliot Fosong, Ignacio Carlucho, Stefano V Albrecht, May 2023
[openreview] [pdf] [bib] [code] 
Guillotine Regularization: Why removing layers is needed to improve generalization in SelfSupervised Learning
Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent, May 2023
[openreview] [pdf] [bib] 
Successor Feature Representations
Chris Reinke, Xavier AlamedaPineda, May 2023
[openreview] [pdf] [bib] [code] 
Lightweight Learner for Shared Knowledge Lifelong Learning
Yunhao Ge, Yuecheng Li, Di Wu, Ao Xu, Adam M. Jones, Amanda Sofie Rios, Iordanis Fostiropoulos, shixian wen, PoHsuan Huang, Zachary William Murdock, Gozde Sahin, Shuo Ni, Kiran Lekkala, Sumedh Anand Sontakke, Laurent Itti, May 2023
[openreview] [pdf] [bib] [code] 
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Deep PlugandPlay Clustering with Unknown Number of Clusters
An Xiao, Hanting Chen, Tianyu Guo, QINGHUA ZHANG, Yunhe Wang, May 2023
[openreview] [pdf] [bib] 
When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning
Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun, May 2023
[openreview] [pdf] [bib] [code] 
A Measure of the Complexity of Neural Representations based on Partial Information Decomposition
David Alexander Ehrlich, Andreas Christian Schneider, Viola Priesemann, Michael Wibral, Abdullah Makkeh, May 2023
[openreview] [pdf] [bib] [code] 
Know Your Selfsupervised Learning: A Survey on Imagebased Generative and Discriminative Training
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Homin Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver, May 2023
[openreview] [pdf] [bib]
Certifications: Survey 
TripROMA: SelfSupervised Learning with Triplets and Random Mappings
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo, May 2023
[openreview] [pdf] [bib] [code] 
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Conditional Permutation Invariant Flows
Berend Zwartsenberg, Adam Scibior, Matthew Niedoba, Vasileios Lioutas, Justice Sefas, Yunpeng Liu, Setareh Dabiri, Jonathan Wilder Lavington, Trevor Campbell, Frank Wood, May 2023
[openreview] [pdf] [bib] [code] 
Event Tables for Efficient Experience Replay
Varun Raj Kompella, Thomas Walsh, Samuel Barrett, Peter R. Wurman, Peter Stone, May 2023
[openreview] [pdf] [bib]
Certifications: Event: CoLLAs 2023 
AgentState Construction with Auxiliary Inputs
Ruo Yu Tao, Adam White, Marlos C. Machado, May 2023
[openreview] [pdf] [bib] [code] 
Modelling sequential branching dynamics with a multivariate branching Gaussian process
Elvijs Sarkans, Sumon Ahmed, Magnus Rattray, Alexis Boukouvalas, May 2023
[openreview] [pdf] [bib] [code] 
UNO: Ushaped Neural Operators
Md Ashiqur Rahman, Zachary E Ross, Kamyar Azizzadenesheli, May 2023
[openreview] [pdf] [bib] [code] 
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià GarrigaAlonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris CallisonBurch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, DongHo Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando MartínezPlumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo JaimovitchLopez, Gregor Betz, Guy GurAri, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha SohlDickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose HernandezOrallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia ContrerasOchando, LouisPhilippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis OliverosColón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose RamirezQuintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta GurAri Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, SooHwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, TeLin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, vinay uday prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu, May 2023
[openreview] [pdf] [bib] [code] 
Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations
Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael GomezBombarelli, Tommi S. Jaakkola, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Survey 
Fast&Fair: Training Acceleration and Bias Mitigation for GNNs
Oyku Deniz Kose, Yanning Shen, May 2023
[openreview] [pdf] [bib] 
Dual PatchNorm
Manoj Kumar, Mostafa Dehghani, Neil Houlsby, May 2023
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping
Vikranth Dwaracherla, Zheng Wen, Ian Osband, Xiuyuan Lu, Seyed Mohammad Asghari, Benjamin Van Roy, May 2023
[openreview] [pdf] [bib] 
Soft Diffusion: Score Matching with General Corruptions
Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar, May 2023
[openreview] [pdf] [bib] 
Spectral Regularization Allows Datafrugal Learning over Combinatorial Spaces
Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran, May 2023
[openreview] [pdf] [bib] [code] 
A Cubic Regularization Approach for Finding Local Minimax Points in Nonconvex Minimax Optimization
Ziyi Chen, Zhengyang Hu, Qunwei Li, Zhe Wang, Yi Zhou, May 2023
[openreview] [pdf] [bib] [code] 
Assisted Learning for Organizations with Limited Imbalanced Data
Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, May 2023
[openreview] [pdf] [bib] 
Transformer for Partial Differential Equations’ Operator Learning
Zijie Li, Kazem Meidani, Amir Barati Farimani, May 2023
[openreview] [pdf] [bib] [code] 
Efficient ModelBased MultiAgent MeanField Reinforcement Learning
Barna Pásztor, Andreas Krause, Ilija Bogunovic, May 2023
[openreview] [pdf] [bib] 
Machine Explanations and Human Understanding
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan, May 2023
[openreview] [pdf] [bib] 
Learning to Look by SelfPrediction
Matthew Koichi Grimes, Joseph Varughese Modayil, Piotr W Mirowski, Dushyant Rao, Raia Hadsell, May 2023
[openreview] [pdf] [bib] 
Computationallyefficient initialisation of GPs: The generalised variogram method
Felipe Tobar, Elsa Cazelles, Taco de Wolff, May 2023
[openreview] [pdf] [bib] [code] 
Fairness via InProcessing in the Overparameterized Regime: A Cautionary Tale with MinDiff Loss
Akshaj Kumar Veldanda, Ivan Brugere, Jiahao Chen, Sanghamitra Dutta, Alan Mishler, Siddharth Garg, May 2023
[openreview] [pdf] [bib] [code] 
Graphbased MultiODE Neural Networks for SpatioTemporal Traffic Forecasting
Zibo Liu, Parshin Shojaee, Chandan K. Reddy, May 2023
[openreview] [pdf] [bib] [code] 
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Fast Treatment Personalization with Latent Bandits in FixedConfidence Pure Exploration
Newton Mwai Kinyanjui, Emil Carlsson, Fredrik D. Johansson, May 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
TimeSeAD: Benchmarking Deep Multivariate TimeSeries Anomaly Detection
Dennis Wagner, Tobias Michels, Florian C.F. Schulz, Arjun Nair, Maja Rudolph, Marius Kloft, May 2023
[openreview] [pdf] [bib] [code] 
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jerome Extermann, Enrico Pomarico, Wojciech Samek, Roderick MurraySmith, Christoph Clausen, Bruno Sanguinetti, May 2023
[openreview] [pdf] [bib] [code] 
MultiSource Transfer Learning for Deep ModelBased Reinforcement Learning
Remo Sasso, Matthia Sabatelli, Marco A. Wiering, May 2023
[openreview] [pdf] [bib] [code] 
Do VisionLanguage Pretrained Models Learn Composable Primitive Concepts?
Tian Yun, Usha Bhalla, Ellie Pavlick, Chen Sun, May 2023
[openreview] [pdf] [bib] [code] 
A Simulation Environment and Reinforcement Learning Method for Waste Reduction
Sami Jullien, Mozhdeh Ariannezhad, Paul Groth, Maarten de Rijke, May 2023
[openreview] [pdf] [bib] [code] 
Understanding NoiseAugmented Training for Randomized Smoothing
Ambar Pal, Jeremias Sulam, April 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Group Fairness in Reinforcement Learning
Harsh Satija, Alessandro Lazaric, Matteo Pirotta, Joelle Pineau, April 2023
[openreview] [pdf] [bib] [code] 
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne, Aurélien Garivier, Rémi Gribonval, April 2023
[openreview] [pdf] [bib] 
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data
Robert Schmier, Ullrich Koethe, ChristophNikolas Straehle, April 2023
[openreview] [pdf] [bib] 
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda, April 2023
[openreview] [pdf] [bib] 
PACBayes Generalisation Bounds for HeavyTailed Losses through Supermartingales
Maxime Haddouche, Benjamin Guedj, April 2023
[openreview] [pdf] [bib] 
Generalization as Dynamical RobustnessThe Role of Riemannian Contraction in Supervised Learning
Leo Kozachkov, Patrick Wensing, JeanJacques Slotine, April 2023
[openreview] [pdf] [bib] 
Differentially Private Image Classification from Features
Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky, April 2023
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer, April 2023
[openreview] [pdf] [bib] 
Proximal Curriculum for Reinforcement Learning Agents
Georgios Tzannetos, Bárbara Gomes Ribeiro, Parameswaran Kamalaruban, Adish Singla, April 2023
[openreview] [pdf] [bib] [code] 
Pretrained Perceptual Features Improve Differentially Private Image Generation
Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park, April 2023
[openreview] [pdf] [bib] [code] 
Bridging performance gap between minimal and maximal SVM models
Ondrej Such, René Fabricius, April 2023
[openreview] [pdf] [bib] [code] 
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial PreColorings
Or Feldman, Amit Boyarski, Shai Feldman, Dani Kogan, Avi Mendelson, Chaim Baskin, April 2023
[openreview] [pdf] [bib] 
Memoryefficient Reinforcement Learning with Valuebased Knowledge Consolidation
Qingfeng Lan, Yangchen Pan, Jun Luo, A. Rupam Mahmood, April 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
Jacobianbased Causal Discovery with Nonlinear ICA
Patrik Reizinger, Yash Sharma, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel, April 2023
[openreview] [pdf] [bib] [code] 
MASIF: Metalearned Algorithm Selection using Implicit Fidelity Information
Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer, April 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: AutoML 2023 
FASTRAINGNN: Fast and Accurate SelfTraining for Graph Neural Networks
Amrit Nagarajan, Anand Raghunathan, April 2023
[openreview] [pdf] [bib] [code] 
Online Optimal Tracking of Linear Systems with Adversarial Disturbances
Farnaz Adib Yaghmaie, Hamidreza Modares, April 2023
[openreview] [pdf] [bib] [code] 
Reducing Predictive Feature Suppression in ResourceConstrained Contrastive ImageCaption Retrieval
Maurits Bleeker, Andrew Yates, Maarten de Rijke, April 2023
[openreview] [pdf] [bib] [code] 
Deep Double Descent via Smooth Interpolation
Matteo Gamba, Erik Englesson, Mårten Björkman, Hossein Azizpour, April 2023
[openreview] [pdf] [bib] [code] 
Bayesian Transformed Gaussian Processes
Xinran Zhu, Leo Huang, Eric Hans Lee, Cameron Alexander Ibrahim, David Bindel, April 2023
[openreview] [pdf] [bib] [code] 
A Variational Perspective on Generative Flow Networks
Heiko Zimmermann, Fredrik Lindsten, JanWillem van de Meent, Christian A Naesseth, April 2023
[openreview] [pdf] [bib] [code] 
Active Learning of Ordinal Embeddings: A User Study on Football Data
Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern Eskofier, Christopher John Rozell, Christopher Mutschler, April 2023
[openreview] [pdf] [bib] [code] 
Differentially private partitioned variational inference
Mikko A. Heikkilä, Matthew Ashman, Siddharth Swaroop, Richard E Turner, Antti Honkela, April 2023
[openreview] [pdf] [bib] [code] 
Adaptive patch foraging in deep reinforcement learning agents
Nathan Wispinski, Andrew Butcher, Kory Wallace Mathewson, Craig S Chapman, Matthew Botvinick, Patrick M. Pilarski, April 2023
[openreview] [pdf] [bib] 
Private MultiTask Learning: Formulation and Applications to Federated Learning
Shengyuan Hu, Steven Wu, Virginia Smith, April 2023
[openreview] [pdf] [bib] [code] 
Sobolev Spaces, Kernels and Discrepancies over Hyperspheres
Simon Hubbert, Emilio Porcu, Chris J. Oates, Mark Girolami, April 2023
[openreview] [pdf] [bib] 
Monotone deep Boltzmann machines
Zhili Feng, Ezra Winston, J Zico Kolter, April 2023
[openreview] [pdf] [bib] [code] 
NovelCraft: A Dataset for Novelty Detection and Discovery in Open Worlds
Patrick Feeney, Sarah Schneider, Panagiotis Lymperopoulos, Liping Liu, Matthias Scheutz, Michael C Hughes, April 2023
[openreview] [pdf] [bib] [code] 
Integrating Bayesian Network Structure into Residual Flows and Variational Autoencoders
Jacobie Mouton, Rodney Stephen Kroon, April 2023
[openreview] [pdf] [bib] [code] 
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli, April 2023
[openreview] [pdf] [bib] 
Unifying physical systems’ inductive biases in neural ODE using dynamics constraints
Yi Heng Lim, Muhammad Firmansyah Kasim, April 2023
[openreview] [pdf] [bib] [code] 
Bridging Graph Position Encodings for Transformers with Weighted GraphWalking Automata
Patrick Soga, David Chiang, April 2023
[openreview] [pdf] [bib] [code] 
A Study of Biologically Plausible Neural Network: The Role and Interactions of BrainInspired Mechanisms in Continual Learning
Fahad Sarfraz, Elahe Arani, Bahram Zonooz, April 2023
[openreview] [pdf] [bib]
Certifications: Event: CoLLAs 2023 
UncertaINR: Uncertainty Quantification of EndtoEnd Implicit Neural Representations for Computed Tomography
Francisca Vasconcelos, Bobby He, Nalini M Singh, Yee Whye Teh, April 2023
[openreview] [pdf] [bib] [code] 
Training Data Size Induced Double Descent For Denoising Feedforward Neural Networks and the Role of Training Noise
Rishi Sonthalia, Raj Rao Nadakuditi, April 2023
[openreview] [pdf] [bib] 
Scalable Deep Compressive Sensing
Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu, April 2023
[openreview] [pdf] [bib] 
A Modulation Layer to Increase Neural Network Robustness Against Data Quality Issues
Mohamed Abdelhack, Jiaming Zhang, Sandhya Tripathi, Bradley A Fritz, Daniel Felsky, Michael Avidan, Yixin Chen, Christopher Ryan King, April 2023
[openreview] [pdf] [bib] [code] 
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program
Tiange Luo, Honglak Lee, Justin Johnson, April 2023
[openreview] [pdf] [bib] [code] 
Can Pruning Improve Certified Robustness of Neural Networks?
Zhangheng LI, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang, April 2023
[openreview] [pdf] [bib] [code] 
Extended AgricultureVision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis
Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David A Wilson, Jennifer Hobbs, April 2023
[openreview] [pdf] [bib] [code] 
Transframer: Arbitrary Frame Prediction with Generative Models
Charlie Nash, Joao Carreira, Jacob C Walker, Iain Barr, Andrew Jaegle, Mateusz Malinowski, Peter Battaglia, April 2023
[openreview] [pdf] [bib] 
Explaining Visual Counterfactual Explainers
Diego Velazquez, Pau Rodriguez, Alexandre Lacoste, Issam H. Laradji, Xavier Roca, Jordi Gonzàlez, April 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Thomas Ulmer, Christian Hardmeier, Jes Frellsen, April 2023
[openreview] [pdf] [bib] [code] 
Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression
Akash Srivastava, Seungwook Han, Kai Xu, Benjamin Rhodes, Michael U. Gutmann, April 2023
[openreview] [pdf] [bib] [code] 
A Revenue Function for ComparisonBased Hierarchical Clustering
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar, April 2023
[openreview] [pdf] [bib] [code] 
ChemSpacE: Interpretable and Interactive Chemical Space Exploration
Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou, April 2023
[openreview] [pdf] [bib] [code] 
A Free Lunch with Influence Functions? An Empirical Evaluation of Influence Functions for Average Treatment Effect Estimation
Matthew James Vowels, Sina Akbari, Necati Cihan Camgoz, Richard Bowden, April 2023
[openreview] [pdf] [bib] [code] 
PartitionBased Active Learning for Graph Neural Networks
Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei, April 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Clustering using Approximate Nearest Neighbour Oracles
Enayat Ullah, Harry Lang, Raman Arora, Vladimir Braverman, March 2023
[openreview] [pdf] [bib] 
Bayesian Optimization with Informative Covariance
Afonso Eduardo, Michael U. Gutmann, March 2023
[openreview] [pdf] [bib] 
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows
Guillaume Morel, Lucas Drumetz, Simon Benaïchouche, Nicolas Courty, François Rousseau, March 2023
[openreview] [pdf] [bib] [code] 
Graph Neural Networks Designed for Different Graph Types: A Survey
Josephine Thomas, Alice MoallemyOureh, Silvia BeddarWiesing, Clara Holzhüter, March 2023
[openreview] [pdf] [bib] 
Generalization bounds for Kernel Canonical Correlation Analysis
Enayat Ullah, Raman Arora, March 2023
[openreview] [pdf] [bib] 
Learning IdentityPreserving Transformations on Data Manifolds
Marissa Catherine Connor, Kion Fallah, Christopher John Rozell, March 2023
[openreview] [pdf] [bib] [code] 
A HalfspaceMass DepthBased Method for Adversarial Attack Detection
Marine Picot, Federica Granese, Guillaume Staerman, Marco Romanelli, Francisco Messina, Pablo Piantanida, Pierre Colombo, March 2023
[openreview] [pdf] [bib] [code] 
Reusable Options through Gradientbased Meta Learning
David Kuric, Herke van Hoof, March 2023
[openreview] [pdf] [bib] [code] 
Containing a spread through sequential learning: to exploit or to explore?
Xingran Chen, Hesam Nikpey, Jungyeol Kim, Saswati Sarkar, Shirin Saeedi Bidokhti, March 2023
[openreview] [pdf] [bib] [code] 
Bidirectional View based Consistency Regularization for SemiSupervised Domain Adaptation
Yuntao Du, 娟 江, Hongtao Luo, Haiyang Yang, MingCai Chen, Chongjun Wang, March 2023
[openreview] [pdf] [bib] 
Improving Generalization with Approximate Factored Value Functions
Shagun Sodhani, Sergey Levine, Amy Zhang, March 2023
[openreview] [pdf] [bib]
Certifications: Event: CoLLAs 2023 
FLUID: A Unified Evaluation Framework for Flexible Sequential Data
Matthew Wallingford, Aditya Kusupati, Keivan AlizadehVahid, Aaron Walsman, Aniruddha Kembhavi, Ali Farhadi, March 2023
[openreview] [pdf] [bib] [code] 
The LowRank Simplicity Bias in Deep Networks
Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola, March 2023
[openreview] [pdf] [bib] 
Identification of Negative Transfers in Multitask Learning Using Surrogate Models
Dongyue Li, Huy Nguyen, Hongyang Ryan Zhang, March 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Multiobjective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows
Alina Selega, Kieran R. Campbell, March 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: AutoML 2023 
Parameter Efficient Node Classification on Homophilic Graphs
Lucas Prieto, Jeroen Den Boef, Paul Groth, Joran Cornelisse, March 2023
[openreview] [pdf] [bib] [code] 
Towards Better OutofDistribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao, March 2023
[openreview] [pdf] [bib] [code] 
LSVRG and LKatyusha with Adaptive Sampling
Boxin Zhao, Boxiang Lyu, mladen kolar, March 2023
[openreview] [pdf] [bib] 
Quantum Policy Iteration via Amplitude Estimation and Grover Search – Towards Quantum Advantage for Reinforcement Learning
Simon Wiedemann, Daniel Hein, Steffen Udluft, Christian B. Mendl, March 2023
[openreview] [pdf] [bib] 
Patches Are All You Need?
Asher Trockman, J Zico Kolter, March 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Enhancing DiffusionBased Image Synthesis with Robust Classifier Guidance
Bahjat Kawar, Roy Ganz, Michael Elad, March 2023
[openreview] [pdf] [bib] 
Improved Overparametrization Bounds for Global Convergence of SGD for Shallow Neural Networks
Bartłomiej Polaczyk, Jacek Cyranka, March 2023
[openreview] [pdf] [bib] [code] 
PRUDEXCompass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets
Shuo Sun, Molei Qin, Xinrun Wang, Bo An, March 2023
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
A Unified View of Masked Image Modeling
Zhiliang Peng, Li Dong, Hangbo Bao, Furu Wei, Qixiang Ye, March 2023
[openreview] [pdf] [bib] [code] 
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang, March 2023
[openreview] [pdf] [bib] 
Leveraging Demonstrations with Latent Space Priors
Jonas Gehring, Deepak Gopinath, Jungdam Won, Andreas Krause, Gabriel Synnaeve, Nicolas Usunier, March 2023
[openreview] [pdf] [bib] [code] 
Solving NonconvexNonconcave MinMax Problems exhibiting Weak Minty Solutions
Axel Böhm, March 2023
[openreview] [pdf] [bib] [code] 
Extreme Masking for Learning Instance and Distributed Visual Representations
Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin, March 2023
[openreview] [pdf] [bib] [code] 
Temperature check: theory and practice for training models with softmaxcrossentropy losses
Atish Agarwala, Samuel Stern Schoenholz, Jeffrey Pennington, Yann Dauphin, March 2023
[openreview] [pdf] [bib] 
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao, March 2023
[openreview] [pdf] [bib] [code] 
Defense Against Reward Poisoning Attacks in Reinforcement Learning
Kiarash Banihashem, Adish Singla, Goran Radanovic, March 2023
[openreview] [pdf] [bib] 
Learning Energy Conserving Dynamics Efficiently with Hamiltonian Gaussian Processes
Magnus Ross, Markus Heinonen, March 2023
[openreview] [pdf] [bib] [code] 
Continual Learning by Modeling IntraClass Variation
Longhui Yu, Tianyang Hu, Lanqing HONG, Zhen Liu, Adrian Weller, Weiyang Liu, March 2023
[openreview] [pdf] [bib] [code] 
Costs and Benefits of Fair Regression
Han Zhao, March 2023
[openreview] [pdf] [bib] 
Transfer Entropy Bottleneck: Learning Sequence to Sequence Information Transfer
Damjan Kalajdzievski, Ximeng Mao, Pascal FortierPoisson, Guillaume Lajoie, Blake Aaron Richards, March 2023
[openreview] [pdf] [bib] [code] 
Transductive Decoupled Variational Inference for FewShot Classification
Anuj Rajeeva Singh, Hadi JamaliRad, March 2023
[openreview] [pdf] [bib] [code] 
BlackBox Prompt Learning for Pretrained Language Models
Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, LIN Yong, Xiao Zhou, Tong Zhang, March 2023
[openreview] [pdf] [bib] 
Numerical Accounting in the Shuffle Model of Differential Privacy
Antti Koskela, Mikko A. Heikkilä, Antti Honkela, March 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Image Compression with Product Quantized Masked Image Modeling
Alaaeldin ElNouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Herve Jegou, March 2023
[openreview] [pdf] [bib] 
Action Poisoning Attacks on Linear Contextual Bandits
Guanlin Liu, Lifeng Lai, March 2023
[openreview] [pdf] [bib] 
Mixed effects in machine learning – A flexible mixedML framework to add random effects to supervised machine learning regression
Pascal Kilian, Sangbeak Ye, Augustin Kelava, March 2023
[openreview] [pdf] [bib] 
Probing Predictions on OOD Images via Nearest Categories
YaoYuan Yang, Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri, March 2023
[openreview] [pdf] [bib] [code] 
Cheap and Deterministic Inference for Deep StateSpace Models of Interacting Dynamical Systems
Andreas Look, Barbara Rakitsch, Melih Kandemir, Jan Peters, March 2023
[openreview] [pdf] [bib] [code] 
Better Theory for SGD in the Nonconvex World
Ahmed Khaled, Peter Richtárik, March 2023
[openreview] [pdf] [bib]
Certifications: Survey 
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
Yiling Xie, Yiling Luo, Xiaoming Huo, March 2023
[openreview] [pdf] [bib] 
AISARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods
Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, Martin Takáč, February 2023
[openreview] [pdf] [bib] [code] 
UStatistics for ImportanceWeighted Variational Inference
Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon, February 2023
[openreview] [pdf] [bib] 
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
Firat Ozdemir, Berkan Lafci, Xose Luis DeanBen, Daniel Razansky, Fernando PerezCruz, February 2023
[openreview] [pdf] [bib] [code] 
Stacking Diverse Architectures to Improve Machine Translation
Andrea Schioppa, Nal Kalchbrenner, February 2023
[openreview] [pdf] [bib] [code] 
Contrastive Search Is What You Need For Neural Text Generation
Yixuan Su, Nigel Collier, February 2023
[openreview] [pdf] [bib] [code] 
Separable Selfattention for Mobile Vision Transformers
Sachin Mehta, Mohammad Rastegari, February 2023
[openreview] [pdf] [bib] [code] 
A Flexible NadarayaWatson Head Can Offer Explainable and Calibrated Classification
Alan Q. Wang, Mert R. Sabuncu, February 2023
[openreview] [pdf] [bib] [code] 
Diffusionbased Time Series Imputation and Forecasting with Structured State Space Models
Juan Lopez Alcaraz, Nils Strodthoff, February 2023
[openreview] [pdf] [bib] [code] 
Robust Hybrid Learning With Expert Augmentation
Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, JoernHenrik Jacobsen, February 2023
[openreview] [pdf] [bib] 
Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction
Saiteja Utpala, Andi Han, Pratik Jawanpuria, Bamdev Mishra, February 2023
[openreview] [pdf] [bib] 
Dirichlet Mechanism for Differentially Private KL Divergence Minimization
Donlapark Ponnoprat, February 2023
[openreview] [pdf] [bib] [code] 
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems
Sean Gunn, Jorio Cocola, PAul HAnd, February 2023
[openreview] [pdf] [bib] [code] 
Workflow Discovery from Dialogues in the Low Data Regime
Amine El hattami, Issam H. Laradji, Stefania Raimondo, David Vazquez, Pau Rodriguez, Christopher Pal, February 2023
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation
Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K Warmuth, February 2023
[openreview] [pdf] [bib] 
Learn, Unlearn and Relearn: An Online Learning Paradigm for Deep Neural Networks
Vijaya Raghavan T Ramkumar, Elahe Arani, Bahram Zonooz, February 2023
[openreview] [pdf] [bib] [code] 
KRADA: Knownregionaware Domain Alignment for Openset Domain Adaptation in Semantic Segmentation
Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, William Cheung, Bo Han, February 2023
[openreview] [pdf] [bib] [code] 
Meanfield analysis for heavy ball methods: Dropoutstability, connectivity, and global convergence
Diyuan Wu, Vyacheslav Kungurtsev, Marco Mondelli, February 2023
[openreview] [pdf] [bib] 
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou, Moksh Jain, Hadi Nekoei, Victor I Butoi, Paul Bertin, Jarrid RectorBrooks, Maksym Korablyov, Yoshua Bengio, February 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
SPADE: Semisupervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon, Kihyuk Sohn, ChunLiang Li, Sercan O Arik, Tomas Pfister, February 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Signed Graph Neural Networks: A Frequency Perspective
Rahul Singh, Yongxin Chen, February 2023
[openreview] [pdf] [bib] [code] 
Guaranteed Discovery of ControlEndogenous Latent States with MultiStep Inverse Models
Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Rajiv Didolkar, Dipendra Misra, Dylan J Foster, Lekan P Molu, Rajan Chari, Akshay Krishnamurthy, John Langford, February 2023
[openreview] [pdf] [bib] [code] 
Beyond Intuition: Rethinking Token Attributions inside Transformers
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong, February 2023
[openreview] [pdf] [bib] [code] 
Understanding and Simplifying Architecture Search in SpatioTemporal Graph Neural Networks
Zhen Xu, quanming yao, Yong Li, Qiang Yang, February 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: AutoML 2023 
FiniteTime Analysis of Decentralized SingleTimescale ActorCritic
qijun luo, Xiao Li, February 2023
[openreview] [pdf] [bib] 
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
Zahra Atashgahi, Xuhao Zhang, Neil Kichler, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Raymond Veldhuis, Decebal Constantin Mocanu, February 2023
[openreview] [pdf] [bib] [code] 
SolidGen: An Autoregressive Model for Direct Brep Synthesis
Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl Willis, Aditya Sanghi, Nigel J. W. Morris, February 2023
[openreview] [pdf] [bib]
Certifications: Featured 
Differentially Private Fréchet Mean on the Manifold of Symmetric Positive Definite (SPD) Matrices with logEuclidean Metric
Saiteja Utpala, Praneeth Vepakomma, Nina Miolane, February 2023
[openreview] [pdf] [bib] 
Tailoring to the Tails: Risk Measures for FineGrained Tail Sensitivity
Christian Fröhlich, Robert Williamson, February 2023
[openreview] [pdf] [bib] 
Controlling Neural Network Smoothness for Neural Algorithmic Reasoning
David A. Klindt, February 2023
[openreview] [pdf] [bib] [code] 
Target Propagation via Regularized Inversion for Recurrent Neural Networks
Vincent Roulet, Zaid Harchaoui, February 2023
[openreview] [pdf] [bib] [code] 
Bayesian Causal Bandits with Backdoor Adjustment Prior
Jireh Huang, Qing Zhou, January 2023
[openreview] [pdf] [bib] [code] 
Accelerated QualityDiversity through Massive Parallelism
Bryan Lim, Maxime Allard, Luca Grillotti, Antoine Cully, January 2023
[openreview] [pdf] [bib] [code] 
Risk Sensitive Deadend Identification in SafetyCritical Offline Reinforcement Learning
Taylor W. Killian, Sonali Parbhoo, Marzyeh Ghassemi, January 2023
[openreview] [pdf] [bib] [code] 
BIGRoC: Boosting Image Generation via a Robust Classifier
Roy Ganz, Michael Elad, January 2023
[openreview] [pdf] [bib] [code] 
Constrained Parameter Inference as a Principle for Learning
Nasir Ahmad, Ellen Schrader, Marcel van Gerven, January 2023
[openreview] [pdf] [bib] [code] 
SMILE: Sampletofeature Mixup for Efficient Transfer Learning
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou, January 2023
[openreview] [pdf] [bib] [code] 
Optimal Convergence Rates of Deep Convolutional Neural Networks: Additive Ridge Functions
Zhiying Fang, Guang Cheng, January 2023
[openreview] [pdf] [bib] 
Dropped Scheduled Task: Mitigating Negative Transfer in Multitask Learning using Dynamic Task Dropping
Aakarsh Malhotra, Mayank Vatsa, Richa Singh, January 2023
[openreview] [pdf] [bib] [code] 
Revisiting adversarial training for the worstperforming class
Thomas Pethick, Grigorios Chrysos, Volkan Cevher, January 2023
[openreview] [pdf] [bib] [code] 
Calibrate and Debias Layerwise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek HakkaniTur, Di Jin, Yun Yang, Ruoqing Zhu, January 2023
[openreview] [pdf] [bib] [code] 
Online Learning for Prediction via Covariance Fitting: Computation, Performance and Robustness
Muhammad Osama, Dave Zachariah, Peter Stoica, Thomas B. Schön, January 2023
[openreview] [pdf] [bib] 
ViViT: Curvature Access Through The Generalized GaussNewton’s LowRank Structure
Felix Dangel, Lukas Tatzel, Philipp Hennig, January 2023
[openreview] [pdf] [bib] [code] 
On a continuous time model of gradient descent dynamics and instability in deep learning
Mihaela Rosca, Yan Wu, Chongli Qin, Benoit Dherin, January 2023
[openreview] [pdf] [bib] [code] 
Robustness through Data Augmentation Loss Consistency
Tianjian Huang, Shaunak Ashish Halbe, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn, Ahmad Beirami, January 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Towards Large Scale Transfer Learning for Differentially Private Image Classification
Harsh Mehta, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky, January 2023
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Gradientadjusted Incremental Target Propagation Provides Effective Credit Assignment in Deep Neural Networks
Sander Dalm, Nasir Ahmad, Luca Ambrogioni, Marcel van Gerven, January 2023
[openreview] [pdf] [bib] [code] 
Proportional Fairness in Federated Learning
Guojun Zhang, Saber Malekmohammadi, Xi Chen, Yaoliang Yu, January 2023
[openreview] [pdf] [bib] 
On the Role of Fixed Points of Dynamical Systems in Training PhysicsInformed Neural Networks
Franz M. Rohrhofer, Stefan Posch, Clemens Gößnitzer, Bernhard C Geiger, January 2023
[openreview] [pdf] [bib] [code] 
VNTransformer: RotationEquivariant Attention for Vector Neurons
Serge Assaad, Carlton Downey, Rami AlRfou', Nigamaa Nayakanti, Benjamin Sapp, January 2023
[openreview] [pdf] [bib] 
lofi: distributed finetuning without communication
Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael Rabbat, Ari S. Morcos, January 2023
[openreview] [pdf] [bib] 
Optimal Threshold Labeling for Ordinal Regression Methods
Ryoya Yamasaki, January 2023
[openreview] [pdf] [bib] [code] 
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona BuissonFenet, Valery Morgenthaler, Sebastian Trimpe, Florent Di Meglio, January 2023
[openreview] [pdf] [bib] 
Attention Beats Concatenation for Conditioning Neural Fields
Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Gopal Sharma, Dmitry Lagun, Andrea Tagliasacchi, January 2023
[openreview] [pdf] [bib] 
A Ranking Game for Imitation Learning
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum, January 2023
[openreview] [pdf] [bib] [code] 
Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning
Macheng Shen, JONATHAN P HOW, January 2023
[openreview] [pdf] [bib] [code] 
Named Tensor Notation
David Chiang, Alexander M Rush, Boaz Barak, January 2023
[openreview] [pdf] [bib] 
PCPs: Patient Cardiac Prototypes to Probe AIbased Medical Diagnoses, Distill Datasets, and Retrieve Patients
Dani Kiyasseh, Tingting Zhu, David A. Clifton, January 2023
[openreview] [pdf] [bib] 
On the infinitedepth limit of finitewidth neural networks
Soufiane Hayou, January 2023
[openreview] [pdf] [bib] 
Intrinsic Dimension for LargeScale Geometric Learning
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider, January 2023
[openreview] [pdf] [bib] [code] 
Beyond Information Gain: An Empirical Benchmark for LowSwitchingCost Reinforcement Learning
Shusheng Xu, Yancheng Liang, Yunfei Li, Simon Shaolei Du, Yi Wu, January 2023
[openreview] [pdf] [bib] [code] 
DisCo: Improving Compositional Generalization in Visual Reasoning through Distribution Coverage
Joy Hsu, Jiayuan Mao, Jiajun Wu, January 2023
[openreview] [pdf] [bib] 
Hidden Heterogeneity: When to Choose SimilarityBased Calibration
Kiri L. Wagstaff, Thomas G Dietterich, January 2023
[openreview] [pdf] [bib] [code] 
PolyViT: Cotraining Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov, Anurag Arnab, Krzysztof Marcin Choromanski, Mario Lucic, Yi Tay, Mostafa Dehghani, January 2023
[openreview] [pdf] [bib] [code] 
GSR: A Generalized Symbolic Regression Approach
Tony Tohme, Dehong Liu, KAMAL YOUCEFTOUMI, January 2023
[openreview] [pdf] [bib] 
Bounding generalization error with input compression: An empirical study with infinitewidth networks
Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani Ioannou, Graham W. Taylor, January 2023
[openreview] [pdf] [bib] [code] 
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
Matthew Kyle Schlegel, Volodymyr Tkachuk, Adam M White, Martha White, January 2023
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
Learning Representations for Pixelbased Control: What Matters and Why?
Manan Tomar, Utkarsh Aashu Mishra, Amy Zhang, Matthew E. Taylor, January 2023
[openreview] [pdf] [bib] [code] 
FedDAG: Federated DAG Structure Learning
Erdun Gao, Junjia Chen, Li Shen, Tongliang Liu, Mingming Gong, Howard Bondell, January 2023
[openreview] [pdf] [bib] [code] 
CommunicationEfficient Distributionally Robust Decentralized Learning
Matteo Zecchin, Marios Kountouris, David Gesbert, January 2023
[openreview] [pdf] [bib] [code] 
EdiBERT: a generative model for image editing
Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard, January 2023
[openreview] [pdf] [bib] [code] 
OpenCon: Openworld Contrastive Learning
Yiyou Sun, Yixuan Li, January 2023
[openreview] [pdf] [bib] [code] 
Linking Neural Collapse and L2 Normalization with Improved OutofDistribution Detection in Deep Neural Networks
Jarrod Haas, William Yolland, Bernhard T Rabus, January 2023
[openreview] [pdf] [bib] 
EuclideanNormInduced Schattenp QuasiNorm Regularization for LowRank Tensor Completion and Tensor Robust Principal Component Analysis
Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell, January 2023
[openreview] [pdf] [bib] 
Benchmarks and Algorithms for Offline PreferenceBased Reward Learning
Daniel Shin, Anca Dragan, Daniel S. Brown, January 2023
[openreview] [pdf] [bib] [code] 
Fairness and robustness in anticausal prediction
Maggie Makar, Alexander D'Amour, January 2023
[openreview] [pdf] [bib] 
UncertaintyBased Active Learning for Reading Comprehension
Jing Wang, Jie Shen, Xiaofei Ma, Andrew Arnold, December 2022
[openreview] [pdf] [bib] [code] 
A geometrical connection between sparse and lowrank matrices and its application to manifold learning
Lawrence K. Saul, December 2022
[openreview] [pdf] [bib] 
Collaborative Algorithms for Online Personalized Mean Estimation
Mahsa Asadi, Aurélien Bellet, OdalricAmbrym Maillard, Marc Tommasi, December 2022
[openreview] [pdf] [bib] [code] 
Indiscriminate Data Poisoning Attacks on Neural Networks
Yiwei Lu, Gautam Kamath, Yaoliang Yu, December 2022
[openreview] [pdf] [bib] 
An empirical study of implicit regularization in deep offline RL
Caglar Gulcehre, Srivatsan Srinivasan, Jakub Sygnowski, Georg Ostrovski, Mehrdad Farajtabar, Matthew Hoffman, Razvan Pascanu, Arnaud Doucet, December 2022
[openreview] [pdf] [bib] 
On Characterizing the Tradeoff in Invariant Representation Learning
Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti, December 2022
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Unsupervised Network Embedding Beyond Homophily
Zhiqiang Zhong, Guadalupe Gonzalez, Daniele Grattarola, Jun Pang, December 2022
[openreview] [pdf] [bib] 
Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri, December 2022
[openreview] [pdf] [bib] [code] 
Sequentially learning the topological ordering of directed acyclic graphs with likelihood ratio scores
Gabriel Ruiz, OSCAR HERNAN MADRID PADILLA, Qing Zhou, December 2022
[openreview] [pdf] [bib] [code] 
A Snapshot of the Frontiers of Client Selection in Federated Learning
Gergely Dániel Németh, Miguel Angel Lozano, Novi Quadrianto, Nuria M Oliver, December 2022
[openreview] [pdf] [bib]
Certifications: Survey 
Objectaware Cropping for SelfSupervised Learning
Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit K Anjaria, Abhyuday Narayan Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan, December 2022
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
Thomas George, Guillaume Lajoie, Aristide Baratin, December 2022
[openreview] [pdf] [bib] [code] 
Fourier Sensitivity and Regularization of Computer Vision Models
Kiran Krishnamachari, SeeKiong Ng, ChuanSheng Foo, December 2022
[openreview] [pdf] [bib] [code] 
Deconstructing SelfSupervised Monocular Reconstruction: The Design Decisions that Matter
Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, December 2022
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
MVSFormer: MultiView Stereo by Learning Robust Image Features and Temperaturebased Depth
Chenjie Cao, Xinlin Ren, Yanwei Fu, December 2022
[openreview] [pdf] [bib] [code] 
Controllable Generative Modeling via Causal Reasoning
Joey Bose, Ricardo Pio Monti, Aditya Grover, December 2022
[openreview] [pdf] [bib] 
A Stochastic Optimization Framework for Fair Risk Minimization
Andrew Lowy, Sina Baharlouei, Rakesh Pavan, Meisam Razaviyayn, Ahmad Beirami, December 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Modeling Bounded Rationality in MultiAgent Simulations Using Rationally Inattentive Reinforcement Learning
Tong Mu, Stephan Zheng, Alexander R Trott, December 2022
[openreview] [pdf] [bib] 
Calibrated Selective Classification
Adam Fisch, Tommi S. Jaakkola, Regina Barzilay, December 2022
[openreview] [pdf] [bib] [code] 
Unsupervised Mismatch Localization in CrossModal Sequential Data with Application to Mispronunciations Localization
Wei Wei, Hengguan Huang, Xiangming Gu, Hao Wang, Ye Wang, December 2022
[openreview] [pdf] [bib] 
GIT: A Generative Imagetotext Transformer for Vision and Language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, Lijuan Wang, December 2022
[openreview] [pdf] [bib] 
Concave Utility Reinforcement Learning with ZeroConstraint Violations
Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal, December 2022
[openreview] [pdf] [bib] 
Fast and Accurate Spreading Process Temporal Scale Estimation
Abram Magner, Carolyn S Kaminski, Petko Bogdanov, December 2022
[openreview] [pdf] [bib] [code] 
Extracting Local Reasoning Chains of Deep Neural Networks
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang, December 2022
[openreview] [pdf] [bib] 
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces
Thanh NguyenTang, Sunil Gupta, Hung TranThe, Svetha Venkatesh, December 2022
[openreview] [pdf] [bib] 
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu, Mahdi Milani Fard, Sen Zhao, December 2022
[openreview] [pdf] [bib] 
COIN++: Neural Compression Across Modalities
Emilien Dupont, Hrushikesh Loya, Milad Alizadeh, Adam Golinski, Yee Whye Teh, Arnaud Doucet, December 2022
[openreview] [pdf] [bib] [code] 
Systematically and efficiently improving $k$means initialization by pairwisenearestneighbor smoothing
Carlo Baldassi, December 2022
[openreview] [pdf] [bib] [code] 
GhostSR: Learning Ghost Features for Efficient Image SuperResolution
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang, December 2022
[openreview] [pdf] [bib] [code] 
DiffuseVAE: Efficient, Controllable and HighFidelity Generation from LowDimensional Latents
Kushagra Pandey, Avideep Mukherjee, Piyush Rai, Abhishek Kumar, December 2022
[openreview] [pdf] [bib] [code] 
On the Origins of the Block Structure Phenomenon in Neural Network Representations
Thao Nguyen, Maithra Raghu, Simon Kornblith, December 2022
[openreview] [pdf] [bib] 
Interpretable Node Representation with Attribute Decoding
Xiaohui Chen, Xi Chen, Liping Liu, December 2022
[openreview] [pdf] [bib] 
A Unified Domain Adaptation Framework with Distinctive Divergence Analysis
Zhiri YUAN, Xixu HU, Qi WU, Shumin MA, Cheuk Hang LEUNG, Xin Shen, Yiyan HUANG, December 2022
[openreview] [pdf] [bib] 
Infinitely wide limits for deep Stable neural networks: sublinear, linear and superlinear activation functions
Alberto Bordino, Stefano Favaro, Sandra Fortini, December 2022
[openreview] [pdf] [bib] 
Counterfactual Learning with Multioutput Deep Kernels
Alberto Caron, Ioanna Manolopoulou, Gianluca Baio, December 2022
[openreview] [pdf] [bib] 
Incorporating Sum Constraints into Multitask Gaussian Processes
Philipp Pilar, Carl Jidling, Thomas B. Schön, Niklas Wahlström, December 2022
[openreview] [pdf] [bib] [code] 
Degradation Attacks on Certifiably Robust Neural Networks
Klas Leino, Chi Zhang, Ravi Mangal, Matt Fredrikson, Bryan Parno, Corina Pasareanu, November 2022
[openreview] [pdf] [bib] [code] 
If your data distribution shifts, use selflearning
Evgenia Rusak, Steffen Schneider, George Pachitariu, Luisa Eck, Peter Vincent Gehler, Oliver Bringmann, Wieland Brendel, Matthias Bethge, November 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
An approximate sampler for energybased models with divergence diagnostics
Bryan Eikema, Germán Kruszewski, Christopher R Dance, Hady Elsahar, Marc Dymetman, November 2022
[openreview] [pdf] [bib] [code] 
A Unified Survey on Anomaly, Novelty, OpenSet, and Out ofDistribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou, November 2022
[openreview] [pdf] [bib] [code] 
Bayesian Methods for Constraint Inference in Reinforcement Learning
Dimitris Papadimitriou, Usman Anwar, Daniel S. Brown, November 2022
[openreview] [pdf] [bib] [code] 
A Crisis In SimulationBased Inference? Beware, Your Posterior Approximations Can Be Unfaithful
Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe, November 2022
[openreview] [pdf] [bib] [code] 
On PseudoLabeling for ClassMismatch SemiSupervised Learning
Lu Han, HanJia Ye, DeChuan Zhan, November 2022
[openreview] [pdf] [bib] 
Reinventing Policy Iteration under Time Inconsistency
Nixie S Lesmana, Huangyuan Su, Chi Seng Pun, November 2022
[openreview] [pdf] [bib] [code] 
Nonparametric Learning of TwoLayer ReLU Residual Units
Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B Cohen, November 2022
[openreview] [pdf] [bib] [code] 
Stochastic DouglasRachford Splitting for Regularized Empirical Risk Minimization: Convergence, Minibatch, and Implementation
Aysegul Bumin, Kejun Huang, November 2022
[openreview] [pdf] [bib] [code] 
Does Entity Abstraction Help Generative Transformers Reason?
Nicolas Gontier, Siva Reddy, Christopher Pal, November 2022
[openreview] [pdf] [bib] 
ComplexValued Autoencoders for Object Discovery
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling, November 2022
[openreview] [pdf] [bib] [code] 
Learning Algorithms for Markovian Bandits:\\Is Posterior Sampling more Scalable than Optimism?
Nicolas Gast, Bruno Gaujal, Kimang Khun, November 2022
[openreview] [pdf] [bib] [code] 
Modeling Object Dissimilarity for Deep Saliency Prediction
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk, November 2022
[openreview] [pdf] [bib] [code] 
Optimizing Intermediate Representations of Generative Models for Phase Retrieval
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling, November 2022
[openreview] [pdf] [bib] 
Algorithms and Theory for Supervised Gradual Domain Adaptation
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao, November 2022
[openreview] [pdf] [bib] 
Teacher’s pet: understanding and mitigating biases in distillation
Michal Lukasik, Srinadh Bhojanapalli, Aditya Krishna Menon, Sanjiv Kumar, November 2022
[openreview] [pdf] [bib] 
Action Noise in OffPolicy Deep Reinforcement Learning: Impact on Exploration and Performance
Jakob Hollenstein, Sayantan Auddy, Matteo Saveriano, Erwan Renaudo, Justus Piater, November 2022
[openreview] [pdf] [bib] [code]
Certifications: Survey 
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and InformationTheoretic Quantities
Andreas Kirsch, Yarin Gal, November 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
An Efficient OneClass SVM for Novelty Detection in IoT
Kun Yang, Samory Kpotufe, Nick Feamster, November 2022
[openreview] [pdf] [bib] 
Competition over data: how does data purchase affect users?
Yongchan Kwon, Tony A Ginart, James Zou, November 2022
[openreview] [pdf] [bib] [code] 
Diffusion Models for Video Prediction and Infilling
Tobias Höppe, Arash Mehrjou, Stefan Bauer, Didrik Nielsen, Andrea Dittadi, November 2022
[openreview] [pdf] [bib] 
Efficient Gradient Flows in SlicedWasserstein Space
Clément Bonet, Nicolas Courty, François Septier, Lucas Drumetz, November 2022
[openreview] [pdf] [bib] [code] 
Approximate Policy Iteration with Bisimulation Metrics
Mete Kemertas, Allan Douglas Jepson, November 2022
[openreview] [pdf] [bib] [code] 
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images
Philipp Liznerski, Lukas Ruff, Robert A. Vandermeulen, Billy Joe Franks, Klaus Robert Muller, Marius Kloft, November 2022
[openreview] [pdf] [bib] [code] 
Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation
Ilyass Hammouamri, Timothée Masquelier, Dennis George Wilson, November 2022
[openreview] [pdf] [bib] [code] 
A Generalist Agent
Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gómez Colmenarejo, Alexander Novikov, Gabriel Barthmaron, Mai Giménez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, Nando de Freitas, November 2022
[openreview] [pdf] [bib]
Certifications: Featured Outstanding 
ZerO Initialization: Initializing Neural Networks with only Zeros and Ones
Jiawei Zhao, Florian Tobias Schaefer, Anima Anandkumar, November 2022
[openreview] [pdf] [bib] [code] 
A Rigorous Study Of The Deep Taylor Decomposition
Leon Sixt, Tim Landgraf, November 2022
[openreview] [pdf] [bib] [code] 
Convergence of denoising diffusion models under the manifold hypothesis
Valentin De Bortoli, November 2022
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Scaling Autoregressive Models for ContentRich TexttoImage Generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu, November 2022
[openreview] [pdf] [bib]
Certifications: Featured 
FailSafe Adversarial Generative Imitation Learning
Philipp Geiger, ChristophNikolas Straehle, November 2022
[openreview] [pdf] [bib] [code] 
A Note on "Assessing Generalization of SGD via Disagreement"
Andreas Kirsch, Yarin Gal, November 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
DHA: EndtoEnd Joint Optimization of Data Augmentation Policy, Hyperparameter and Architecture
kaichen zhou, Lanqing HONG, Shoukang Hu, Fengwei Zhou, Binxin Ru, Jiashi Feng, Zhenguo Li, November 2022
[openreview] [pdf] [bib] [code] 
Data Leakage in Federated Averaging
Dimitar Iliev Dimitrov, Mislav Balunovic, Nikola Konstantinov, Martin Vechev, November 2022
[openreview] [pdf] [bib] [code] 
On the Adversarial Robustness of Vision Transformers
Rulin Shao, Zhouxing Shi, Jinfeng Yi, PinYu Chen, ChoJui Hsieh, November 2022
[openreview] [pdf] [bib] [code] 
Behind the Machine’s Gaze: Neural Networks with Biologicallyinspired Constraints Exhibit Humanlike Visual Attention
Leo Schwinn, Doina Precup, Bjoern Eskofier, Dario Zanca, October 2022
[openreview] [pdf] [bib] [code] 
Structured Uncertainty in the Observation Space of Variational Autoencoders
James Langley, Miguel Monteiro, Charles Jones, Nick Pawlowski, Ben Glocker, October 2022
[openreview] [pdf] [bib] [code] 
Distributed Stochastic Algorithms for Highrate Streaming Principal Component Analysis
Haroon Raja, Waheed Bajwa, October 2022
[openreview] [pdf] [bib] [code] 
Benchmarking Progress to InfantLevel Physical Reasoning in AI
Luca Weihs, Amanda Yuile, Renée Baillargeon, Cynthia Fisher, Gary Marcus, Roozbeh Mottaghi, Aniruddha Kembhavi, October 2022
[openreview] [pdf] [bib] [code] 
Linear algebra with transformers
Francois Charton, October 2022
[openreview] [pdf] [bib] 
INRV: A Continuous Representation Space for Videobased Generative Tasks
Bipasha Sen, Aditya Agarwal, Vinay P Namboodiri, C.V. Jawahar, October 2022
[openreview] [pdf] [bib] [code] 
A Simple Convergence Proof of Adam and Adagrad
Alexandre Défossez, Leon Bottou, Francis Bach, Nicolas Usunier, October 2022
[openreview] [pdf] [bib] 
On the Paradox of Certified Training
Nikola Jovanović, Mislav Balunovic, Maximilian Baader, Martin Vechev, October 2022
[openreview] [pdf] [bib] [code] 
Time Series Alignment with Global Invariances
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard, October 2022
[openreview] [pdf] [bib] [code] 
Explicit Group Sparse Projection with Applications to Deep Learning and NMF
Riyasat Ohib, Nicolas Gillis, Niccolo Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey Plis, October 2022
[openreview] [pdf] [bib] [code] 
Reasonable Effectiveness of Random Weighting: A Litmus Test for MultiTask Learning
Baijiong Lin, Feiyang YE, Yu Zhang, Ivor Tsang, October 2022
[openreview] [pdf] [bib] 
Direct Molecular Conformation Generation
Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, TieYan Liu, October 2022
[openreview] [pdf] [bib] [code] 
Symbolic Regression is NPhard
Marco Virgolin, Solon P Pissis, October 2022
[openreview] [pdf] [bib] 
Differentially Private Stochastic Expectation Propagation
Margarita Vinaroz, Mijung Park, October 2022
[openreview] [pdf] [bib] 
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Adam Breitholtz, Fredrik Daniel Johansson, October 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
On Noise Abduction for Answering Counterfactual Queries: A Practical Outlook
Saptarshi Saha, Utpal Garain, October 2022
[openreview] [pdf] [bib] [code] 
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed
Mélanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker, October 2022
[openreview] [pdf] [bib] 
Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization
Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt, October 2022
[openreview] [pdf] [bib] 
MultiSource Causal Inference Using Control Variates under Outcome Selection Bias
Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael Jordan, October 2022
[openreview] [pdf] [bib] 
Identifiable Deep Generative Models via Sparse Decoding
Gemma Elyse Moran, Dhanya Sridhar, Yixin Wang, David Blei, October 2022
[openreview] [pdf] [bib] [code] 
Using unsupervised learning to detect broken symmetries, with relevance to searches for parity violation in nature.
Christopher Gorham Lester, October 2022
[openreview] [pdf] [bib] [code] 
Integrating Rankings into Quantized Scores in Peer Review
Yusha Liu, Yichong Xu, Nihar B Shah, Aarti Singh, October 2022
[openreview] [pdf] [bib] 
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning
Linfeng Liu, XU HAN, Dawei Zhou, Liping Liu, October 2022
[openreview] [pdf] [bib] [code] 
Learning TwoStep Hybrid Policy for GraphBased Interpretable Reinforcement Learning
Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai, October 2022
[openreview] [pdf] [bib] 
Secure Domain Adaptation with Multiple Sources
Serban Stan, Mohammad Rostami, October 2022
[openreview] [pdf] [bib] 
Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, Owain Evans, October 2022
[openreview] [pdf] [bib] [code] 
On Uncertainty in Deep State Space Models for ModelBased Reinforcement Learning
Philipp Becker, Gerhard Neumann, October 2022
[openreview] [pdf] [bib] [code] 
The Evolution of OutofDistribution Robustness Throughout FineTuning
Anders Johan Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs, October 2022
[openreview] [pdf] [bib] 
Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation
Zhiqiang Zhong, Sergei Ivanov, Jun Pang, October 2022
[openreview] [pdf] [bib] 
Centroids Matching: an efficient Continual Learning approach operating in the embedding space
Jary Pomponi, Simone Scardapane, Aurelio Uncini, October 2022
[openreview] [pdf] [bib] [code] 
Nonstationary Reinforcement Learning with Linear Function Approximation
Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan, October 2022
[openreview] [pdf] [bib] 
Enhanced gradientbased MCMC in discrete spaces
Benjamin Rhodes, Michael U. Gutmann, October 2022
[openreview] [pdf] [bib] 
Flipped Classroom: Effective Teaching for Time Series Forecasting
Philipp Teutsch, Patrick Mäder, October 2022
[openreview] [pdf] [bib] [code] 
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach
Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil, October 2022
[openreview] [pdf] [bib] [code] 
Generative Adversarial Neural Operators
Md Ashiqur Rahman, Manuel A Florez, Anima Anandkumar, Zachary E Ross, Kamyar Azizzadenesheli, October 2022
[openreview] [pdf] [bib] [code] 
Lookback for Learning to Branch
Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar, October 2022
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality
Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li, October 2022
[openreview] [pdf] [bib] [code] 
Unimodal Likelihood Models for Ordinal Data
Ryoya Yamasaki, October 2022
[openreview] [pdf] [bib] [code] 
Differentiable Model Compression via Pseudo Quantization Noise
Alexandre Défossez, Yossi Adi, Gabriel Synnaeve, October 2022
[openreview] [pdf] [bib] [code] 
Local Kernel Ridge Regression for Scalable, Interpolating, Continuous Regression
Mingxuan Han, Chenglong Ye, Jeff Phillips, October 2022
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
Mace: A flexible framework for membership privacy estimation in generative models
Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul M Dodhia, Juan M Lavista Ferres, October 2022
[openreview] [pdf] [bib] 
Fingerprints of Super Resolution Networks
Jeremy Vonderfecht, Feng Liu, October 2022
[openreview] [pdf] [bib] [code] 
Online Double Oracle
Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas PerezNieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou Ammar, Yaodong Yang, October 2022
[openreview] [pdf] [bib] [code] 
Attribute Prediction as Multiple Instance Learning
Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata, October 2022
[openreview] [pdf] [bib] [code] 
Completeness and Coherence Learning for Fast Arbitrary Style Transfer
Zhijie Wu, Chunjin Song, Guanxiong Chen, Sheng Guo, Weilin Huang, October 2022
[openreview] [pdf] [bib] [code] 
sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel Classification
Gabriel Bénédict, Hendrik Vincent Koops, Daan Odijk, Maarten de Rijke, October 2022
[openreview] [pdf] [bib] [code] 
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data
Eugenia Iofinova, Nikola Konstantinov, Christoph H Lampert, October 2022
[openreview] [pdf] [bib] [code] 
GemNetOC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets
Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary Ward Ulissi, C. Lawrence Zitnick, Abhishek Das, October 2022
[openreview] [pdf] [bib] [code] 
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
Ali RamezaniKebrya, Iman Tabrizian, Fartash Faghri, Petar Popovski, October 2022
[openreview] [pdf] [bib] [code] 
LIMIS: Locally Interpretable Modeling using Instancewise Subsampling
Jinsung Yoon, Sercan O Arik, Tomas Pfister, September 2022
[openreview] [pdf] [bib] 
Sparse MoEs meet Efficient Ensembles
James Urquhart Allingham, Florian Wenzel, Zelda E Mariet, Basil Mustafa, Joan Puigcerver, Neil Houlsby, Ghassen Jerfel, Vincent Fortuin, Balaji Lakshminarayanan, Jasper Snoek, Dustin Tran, Carlos Riquelme Ruiz, Rodolphe Jenatton, September 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
FedShuffle: Recipes for Better Use of Local Work in Federated Learning
Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat, September 2022
[openreview] [pdf] [bib] 
Representation Alignment in Neural Networks
Ehsan Imani, Wei Hu, Martha White, September 2022
[openreview] [pdf] [bib] [code]
Certifications: Event: CoLLAs 2023 
Faking Interpolation Until You Make It
Alasdair Paren, Rudra P. K. Poudel, M. Pawan Kumar, September 2022
[openreview] [pdf] [bib] [code] 
Ensembles of Classifiers: a BiasVariance Perspective
Neha Gupta, Jamie Smith, Ben Adlam, Zelda E Mariet, September 2022
[openreview] [pdf] [bib] 
GFNet: Geometric Flow Network for 3D Point Cloud Semantic Segmentation
Haibo Qiu, Baosheng Yu, Dacheng Tao, September 2022
[openreview] [pdf] [bib] [code] 
Deep Learning for Bayesian Optimization of Scientific Problems with HighDimensional Structure
Samuel Kim, Peter Y Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljacic, September 2022
[openreview] [pdf] [bib] [code] 
Evolving Decomposed Plasticity Rules for InformationBottlenecked MetaLearning
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang, September 2022
[openreview] [pdf] [bib] [code] 
Multitask Online Mirror Descent
Nicolò CesaBianchi, Pierre Laforgue, Andrea Paudice, massimiliano pontil, September 2022
[openreview] [pdf] [bib] 
Approximating 1Wasserstein Distance with Trees
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi, September 2022
[openreview] [pdf] [bib] [code] 
Do better ImageNet classifiers assess perceptual similarity better?
Manoj Kumar, Neil Houlsby, Nal Kalchbrenner, Ekin Dogus Cubuk, September 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain, September 2022
[openreview] [pdf] [bib] [code] 
Probabilistic Autoencoder
Vanessa M Boehm, Uros Seljak, September 2022
[openreview] [pdf] [bib] [code] 
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel Asiedu Brempong, Simon Kornblith, Ting Chen, Niki Parmar, Matthias Minderer, Mohammad Norouzi, September 2022
[openreview] [pdf] [bib] 
Can You Win Everything with A Lottery Ticket?
Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang, September 2022
[openreview] [pdf] [bib] [code] 
HEAT: Hyperedge Attention Networks
Dobrik Georgiev Georgiev, Marc Brockschmidt, Miltiadis Allamanis, September 2022
[openreview] [pdf] [bib] [code] 
On the NearOptimality of Local Policies in Large Cooperative MultiAgent Reinforcement Learning
Washim Uddin Mondal, Vaneet Aggarwal, Satish Ukkusuri, September 2022
[openreview] [pdf] [bib] [code] 
Exploring Efficient Fewshot Adaptation for Vision Transformers
Chengming Xu, Siqian Yang, Yabiao Wang, Zhanxiong Wang, Yanwei Fu, Xiangyang Xue, September 2022
[openreview] [pdf] [bib] 
Weight Expansion: A New Perspective on Dropout and Generalization
Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang, September 2022
[openreview] [pdf] [bib] [code] 
Exploring the Learning Mechanisms of Neural Division Modules
Bhumika Mistry, Katayoun Farrahi, Jonathon Hare, September 2022
[openreview] [pdf] [bib] [code] 
Domain Invariant Adversarial Learning
Matan Levi, Idan Attias, Aryeh Kontorovich, September 2022
[openreview] [pdf] [bib] [code] 
Momentum Capsule Networks
Josef Gugglberger, Antonio Rodriguezsanchez, David Peer, September 2022
[openreview] [pdf] [bib] 
ANCER: Anisotropic Certification via Samplewise Volume Maximization
Francisco Eiras, Motasem Alfarra, Philip Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi, September 2022
[openreview] [pdf] [bib] [code] 
On the Choice of Interpolation Scheme for Neural CDEs
James Morrill, Patrick Kidger, Lingyi Yang, Terry Lyons, September 2022
[openreview] [pdf] [bib] 
Conformal Prediction Intervals with Temporal Dependence
Zhen Lin, Shubhendu Trivedi, Jimeng Sun, September 2022
[openreview] [pdf] [bib] [code] 
MetaLearning Sparse Compression Networks
Jonathan Schwarz, Yee Whye Teh, September 2022
[openreview] [pdf] [bib] 
Estimating Potential Outcome Distributions with Collaborating Causal Networks
Tianhui Zhou, William E Carson IV, David Carlson, September 2022
[openreview] [pdf] [bib] [code] 
Sparse Coding with Multilayer Decoders using Variance Regularization
Katrina Evtimova, Yann LeCun, August 2022
[openreview] [pdf] [bib] [code] 
Emergent Abilities of Large Language Models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, William Fedus, August 2022
[openreview] [pdf] [bib]
Certifications: Survey 
Efficient CDF Approximations for Normalizing Flows
Chandramouli Shama Sastry, Andreas Lehrmann, Marcus A Brubaker, Alexander Radovic, August 2022
[openreview] [pdf] [bib] 
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave, August 2022
[openreview] [pdf] [bib] [code] 
Equivariant Mesh Attention Networks
Sourya Basu, Jose GallegoPosada, Francesco Viganò, James Rowbottom, Taco Cohen, August 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons
Fangshuo Liao, Anastasios Kyrillidis, August 2022
[openreview] [pdf] [bib] [code] 
CoCa: Contrastive Captioners are ImageText Foundation Models
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu, August 2022
[openreview] [pdf] [bib] 
Attentive WalkAggregating Graph Neural Networks
Mehmet F Demirel, Shengchao Liu, Siddhant Garg, Zhenmei Shi, Yingyu Liang, August 2022
[openreview] [pdf] [bib] [code] 
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation
Miao Xiong, Shen Li, Wenjie Feng, Ailin Deng, Jihai Zhang, Bryan Hooi, August 2022
[openreview] [pdf] [bib] [code] 
Optimal Client Sampling for Federated Learning
Wenlin Chen, Samuel Horváth, Peter Richtárik, August 2022
[openreview] [pdf] [bib] [code] 
DRDSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs
Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis, August 2022
[openreview] [pdf] [bib] 
SemiNLL: A Framework of NoisyLabel Learning by SemiSupervised Learning
ZHUOWEI WANG, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long, August 2022
[openreview] [pdf] [bib] [code] 
SFP: Statefree Priors for Exploration in OffPolicy Reinforcement Learning
Marco Bagatella, Sammy Joe Christen, Otmar Hilliges, August 2022
[openreview] [pdf] [bib] [code] 
ZeroShot Learning with Common Sense Knowledge Graphs
Nihal V. Nayak, Stephen Bach, August 2022
[openreview] [pdf] [bib] [code] 
Causal Feature Selection via Orthogonal Search
Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve, August 2022
[openreview] [pdf] [bib] [code] 
Finding and Fixing Spurious Patterns with Explanations
Gregory Plumb, Marco Tulio Ribeiro, Ameet Talwalkar, August 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
High Fidelity Visualization of What Your SelfSupervised Representation Knows About
Florian Bordes, Randall Balestriero, Pascal Vincent, August 2022
[openreview] [pdf] [bib] [code] 
The Fundamental Limits of Neural Networks for Interval Certified Robustness
Matthew B Mirman, Maximilian Baader, Martin Vechev, August 2022
[openreview] [pdf] [bib] 
TITRATED: Learned Human Driving Behavior without Infractions via Amortized Inference
Vasileios Lioutas, Adam Scibior, Frank Wood, August 2022
[openreview] [pdf] [bib] 
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
Han Wang, Archit Sakhadeo, Adam M White, James M Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White, August 2022
[openreview] [pdf] [bib] 
MeanField Langevin Dynamics : Exponential Convergence and Annealing
Lénaïc Chizat, August 2022
[openreview] [pdf] [bib] [code] 
Variational Disentanglement for Domain Generalization
Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, LapPui Chau, Alex Kot, August 2022
[openreview] [pdf] [bib] 
On Robustness to Missing Video for Audiovisual Speech Recognition
Oscar Chang, Otavio Braga, Hank Liao, Dmitriy Serdyuk, Olivier Siohan, August 2022
[openreview] [pdf] [bib] 
Identifying Causal Structure in Dynamical Systems
Dominik Baumann, Friedrich Solowjow, Karl Henrik Johansson, Sebastian Trimpe, August 2022
[openreview] [pdf] [bib] [code] 
Understanding AdamW through Proximal Methods and ScaleFreeness
Zhenxun Zhuang, Mingrui Liu, Ashok Cutkosky, Francesco Orabona, August 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Gabriel LoaizaGanem, Brendan Leigh Ross, Jesse C Cresswell, Anthony L. Caterini, August 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Do ReLU Networks Have An Edge When Approximating CompactlySupported Functions?
Anastasis Kratsios, Behnoosh Zamanlooy, August 2022
[openreview] [pdf] [bib] 
Recurrent networks, hidden states and beliefs in partially observable environments
Gaspard Lambrechts, Adrien Bolland, Damien Ernst, August 2022
[openreview] [pdf] [bib] 
Selfsupervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Jinsung Yoon, Kihyuk Sohn, ChunLiang Li, Sercan O Arik, ChenYu Lee, Tomas Pfister, August 2022
[openreview] [pdf] [bib] 
A Comprehensive Study of RealTime Object Detection Networks Across Multiple Domains: A Survey
Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee, Omar Magdy, Senthilkumar Sockalingam Kathiresan, Bahram Zonooz, August 2022
[openreview] [pdf] [bib]
Certifications: Survey 
Domaininvariant Feature Exploration for Domain Generalization
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie, August 2022
[openreview] [pdf] [bib] [code] 
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams, Demba E. Ba, August 2022
[openreview] [pdf] [bib] [code] 
Exploring Generative Neural Temporal Point Process
Haitao Lin, Lirong Wu, Guojiang Zhao, Liu Pai, Stan Z. Li, August 2022
[openreview] [pdf] [bib] [code] 
Improving the Trainability of Deep Neural Networks through Layerwise BatchEntropy Regularization
David Peer, Bart Keulen, Sebastian Stabinger, Justus Piater, Antonio Rodriguezsanchez, August 2022
[openreview] [pdf] [bib] [code] 
Online Coresets for Parameteric and NonParametric Bregman Clustering
Supratim Shit, Anirban Dasgupta, Rachit Chhaya, Jayesh Choudhari, August 2022
[openreview] [pdf] [bib] 
MaxAffine Spline Insights Into Deep Network Pruning
Haoran You, Randall Balestriero, Zhihan Lu, Yutong Kou, Huihong Shi, Shunyao Zhang, Shang Wu, Yingyan Lin, Richard Baraniuk, August 2022
[openreview] [pdf] [bib] 
Did I do that? Blame as a means to identify controlled effects in reinforcement learning
Oriol Corcoll, Youssef Sherif Mansour Mohamed, Raul Vicente, August 2022
[openreview] [pdf] [bib] 
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barthmaron, Aleksandra Faust, Vijay Janapa Reddi, July 2022
[openreview] [pdf] [bib] [code] 
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth, July 2022
[openreview] [pdf] [bib] [code] 
Learning to Switch Among Agents in a Team via 2Layer Markov Decision Processes
Vahid Balazadeh, Abir De, Adish Singla, Manuel Gomez Rodriguez, July 2022
[openreview] [pdf] [bib] [code] 
A SelfSupervised Framework for Function Learning and Extrapolation
Simon Segert, Jonathan Cohen, July 2022
[openreview] [pdf] [bib] [code] 
Deep Classifiers with Label Noise Modeling and Distance Awareness
Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou, July 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Ranking Recovery under Privacy Considerations
Minoh Jeong, Alex Dytso, Martina Cardone, July 2022
[openreview] [pdf] [bib] 
Learning the Transformer Kernel
Sankalan Pal Chowdhury, Adamos Solomou, Kumar Avinava Dubey, Mrinmaya Sachan, July 2022
[openreview] [pdf] [bib] [code] 
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
David AlvarezMelis, Yair Schiff, Youssef Mroueh, July 2022
[openreview] [pdf] [bib] [code] 
Deformation Robust RotoScaleTranslation Equivariant CNNs
Liyao Gao, Guang Lin, Wei Zhu, July 2022
[openreview] [pdf] [bib] [code] 
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani, Kai Arulkumaran, Shuntaro Sasai, Ryota Kanai, July 2022
[openreview] [pdf] [bib]
Certifications: Survey 
NonDeterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It
Doruk Kilitcioglu, Serdar Kadioglu, July 2022
[openreview] [pdf] [bib] [code]
Certifications: Reproducibility 
Structural Learning in Artificial Neural Networks: A Neural Operator Perspective
Kaitlin Maile, Luga Hervé, Dennis George Wilson, July 2022
[openreview] [pdf] [bib]
Certifications: Survey Event: AutoML 2023 
Adversarial Feature Augmentation and Normalization for Visual Recognition
Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Jingjing Liu, Zhangyang Wang, July 2022
[openreview] [pdf] [bib] [code] 
Your Policy Regularizer is Secretly an Adversary
Rob Brekelmans, Tim Genewein, Jordi GrauMoya, Gregoire Detetang, Markus Kunesch, Shane Legg, Pedro A Ortega, July 2022
[openreview] [pdf] [bib]
Certifications: Written by Expert Reviewer 
How Expressive are Transformers in Spectral Domain for Graphs?
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Hiroki Kanezashi, Toyotaro Suzumura, Isaiah Onando Mulang', July 2022
[openreview] [pdf] [bib] [code] 
Robust and Dataefficient Qlearning by Composite Valueestimation
Gabriel Kalweit, Maria Kalweit, Joschka Boedecker, July 2022
[openreview] [pdf] [bib] [code] 
Iterative State Estimation in Nonlinear Dynamical Systems Using Approximate Expectation Propagation
Sanket Kamthe, So Takao, Shakir Mohamed, Marc Peter Deisenroth, July 2022
[openreview] [pdf] [bib] [code] 
The Graph Cut Kernel for Ranked Data
Michelangelo Conserva, Marc Peter Deisenroth, K S Sesh Kumar, July 2022
[openreview] [pdf] [bib] [code] 
NoiLin: Improving adversarial training and correcting stereotype of noisy labels
Jingfeng Zhang, Xilie Xu, Bo Han, Tongliang Liu, Lizhen Cui, Gang Niu, Masashi Sugiyama, June 2022
[openreview] [pdf] [bib] [code] 
MultiAgent OffPolicy TDC with NearOptimal Sample and Communication Complexities
Ziyi Chen, Yi Zhou, RongRong Chen, June 2022
[openreview] [pdf] [bib] [code] 
Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress
Saket Gurukar, Priyesh Vijayan, srinivasan parthasarathy, Balaraman Ravindran, Aakash Srinivasan, Goonmeet Bajaj, Chen Cai, Moniba Keymanesh, Saravana Kumar, Pranav Maneriker, Anasua Mitra, Vedang Patel, June 2022
[openreview] [pdf] [bib] [code] 
Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware
Neelesh Kumar, Guangzhi Tang, Raymond Yoo, Konstantinos P. Michmizos, June 2022
[openreview] [pdf] [bib] [code] 
Understanding Linearity of CrossLingual Word Embedding Mappings
Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li, June 2022
[openreview] [pdf] [bib] [code] 
TLDR: Twin Learning for Dimensionality Reduction
Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus, June 2022
[openreview] [pdf] [bib] [code]
Certifications: Written by Expert Reviewer 
Clustering units in neural networks: upstream vs downstream information
Richard D Lange, David Rolnick, Konrad Kording, June 2022
[openreview] [pdf] [bib] [code] 
Boosting Search Engines with Interactive Agents
Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain, June 2022
[openreview] [pdf] [bib] [code] 
Queried Unlabeled Data Improves and Robustifies ClassIncremental Learning
Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang, June 2022
[openreview] [pdf] [bib] [code]
Certifications: Featured 
Greedy Bayesian Posterior Approximation with Deep Ensembles
Aleksei Tiulpin, Matthew B. Blaschko, June 2022
[openreview] [pdf] [bib] [code] 
AutoLambda: Disentangling Dynamic Task Relationships
Shikun Liu, Stephen James, Andrew Davison, Edward Johns, June 2022
[openreview] [pdf] [bib] [code] 
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Peter Steiner, Alexander Kolesnikov, Xiaohua Zhai, Ross Wightman, Jakob Uszkoreit, Lucas Beyer, May 2022
[openreview] [pdf] [bib] [code]
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