Accepted papers
Certifications
Survey
Reproducibility
Featured

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] 
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] 
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Gabriel LoaizaGanem, Brendan Leigh Ross, Jesse C Cresswell, Anthony L. Caterini, 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] 
An Efficient OneClass SVM for Novelty Detection in IoT
Kun Yang, Samory Kpotufe, Nicholas 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 
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] 
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] 
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] 
QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning
Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barthmaron, Aleksandra Faust, Vijay Janapa Reddi, 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] 
Lookback for Learning to Branch
Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar, November 2022
[openreview] [pdf] [bib] 
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] 
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] 
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] 
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] 
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] 
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] 
Centroids Matching: an efficient Continual Learning approach operating in the embedding space
Jary Pomponi, Simone Scardapane, Aurelio Uncini, October 2022
[openreview] [pdf] [bib] [code] 
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] 
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] 
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] 
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] 
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] 
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] 
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, Kang Yu, Haifeng Wang, 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] 
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] 
Causal Feature Selection via Orthogonal Search
Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve, 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] 
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] 
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 Efficient Fewshot Adaptation for Vision Transformers
Chengming Xu, Siqian Yang, Yabiao Wang, Zhanxiong Wang, Yanwei Fu, Xiangyang Xue, September 2022
[openreview] [pdf] [bib] 
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] 
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] 
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] 
Finding and Fixing Spurious Patterns with Explanations
Gregory Plumb, Marco Tulio Ribeiro, Ameet Talwalkar, August 2022
[openreview] [pdf] [bib] [code] 
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] 
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams, Demba E. Ba, August 2022
[openreview] [pdf] [bib] [code] 
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] 
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] 
Exploring Generative Neural Temporal Point Process
Haitao Lin, Lirong Wu, Guojiang Zhao, Liu Pai, Stan Z. Li, August 2022
[openreview] [pdf] [bib] [code] 
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] 
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] 
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
Vahid Balazadeh Meresht, 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] 
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 
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] 
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] 
Clustering units in neural networks: upstream vs downstream information
Richard D Lange, David Rolnick, Konrad Kording, 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] 
Queried Unlabeled Data Improves and Robustifies ClassIncremental Learning
Tianlong Chen, Sijia Liu, Shiyu Chang, Lisa Amini, Zhangyang Wang, 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] 
Greedy Bayesian Posterior Approximation with Deep Ensembles
Aleksei Tiulpin, Matthew B. Blaschko, 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, 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]
© TMLR 2022. 