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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: sub-linear, linear and super-linear 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 self-learning

  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 energy-based 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 Loaiza-Ganem, Brendan Leigh Ross, Jesse C Cresswell, Anthony L. Caterini, November 2022
  [openreview] [pdf] [bib] [code]

• A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution 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 Simulation-Based 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 Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning

  Lu Han, Han-Jia Ye, De-Chuan 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 Two-Layer ReLU Residual Units

  Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B Cohen, November 2022
  [openreview] [pdf] [bib] [code]

• Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, 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]

• Complex-Valued 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 Off-Policy 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 Information-Theoretic Quantities

  Andreas Kirsch, Yarin Gal, November 2022
  [openreview] [pdf] [bib] [code]

• An Efficient One-Class 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 Sliced-Wasserstein 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 Barth-maron, 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 Content-Rich Text-to-Image 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

• Fail-Safe Adversarial Generative Imitation Learning

  Philipp Geiger, Christoph-Nikolas 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: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter 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 Barth-maron, 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, Pin-Yu Chen, Cho-Jui Hsieh, November 2022
  [openreview] [pdf] [bib] [code]

• Behind the Machine’s Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like 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 High-rate Streaming Principal Component Analysis

  Haroon Raja, Waheed Bajwa, October 2022
  [openreview] [pdf] [bib] [code]

• Benchmarking Progress to Infant-Level 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]

• INR-V: A Continuous Representation Space for Video-based 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 Multi-Task 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, Tie-Yan Liu, October 2022
  [openreview] [pdf] [bib] [code]

• Symbolic Regression is NP-hard

  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]

• Multi-Source 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 Two-Step Hybrid Policy for Graph-Based 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 Model-Based Reinforcement Learning

  Philipp Becker, Gerhard Neumann, October 2022
  [openreview] [pdf] [bib] [code]

• The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning

  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 gradient-based 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 Perez-Nieves, 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]

• GemNet-OC: 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 Ramezani-Kebrya, Iman Tabrizian, Fartash Faghri, Petar Popovski, October 2022
  [openreview] [pdf] [bib] [code]

• LIMIS: Locally Interpretable Modeling using Instance-wise 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 Bias-Variance 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 High-Dimensional 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 Information-Bottlenecked Meta-Learning

  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 Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, massimiliano pontil, September 2022
  [openreview] [pdf] [bib]

• Approximating 1-Wasserstein 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 Near-Optimality of Local Policies in Large Cooperative Multi-Agent 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 Few-shot 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 Rodriguez-sanchez, David Peer, September 2022
  [openreview] [pdf] [bib]

• ANCER: Anisotropic Certification via Sample-wise 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]

• Meta-Learning 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 Multi-layer 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 Gallego-Posada, 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 Image-Text Foundation Models

  Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu, August 2022
  [openreview] [pdf] [bib]

• Attentive Walk-Aggregating Graph Neural Networks

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  [openreview] [pdf] [bib] [code]

• Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation

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  [openreview] [pdf] [bib] [code]

• Optimal Client Sampling for Federated Learning

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  [openreview] [pdf] [bib] [code]

• DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs

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  [openreview] [pdf] [bib]

• SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning

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  [openreview] [pdf] [bib] [code]

• SFP: State-free Priors for Exploration in Off-Policy Reinforcement Learning

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  [openreview] [pdf] [bib] [code]

• Zero-Shot Learning with Common Sense Knowledge Graphs

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  [openreview] [pdf] [bib] [code]

• Finding and Fixing Spurious Patterns with Explanations

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  [openreview] [pdf] [bib] [code]

• High Fidelity Visualization of What Your Self-Supervised Representation Knows About

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  [openreview] [pdf] [bib] [code]

• The Fundamental Limits of Neural Networks for Interval Certified Robustness

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  [openreview] [pdf] [bib]

• Stable and Interpretable Unrolled Dictionary Learning

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]
  Certifications: Survey

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib] [code]

• Deep Classifiers with Label Noise Modeling and Distance Awareness

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  [openreview] [pdf] [bib] [code]

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  [openreview] [pdf] [bib]

• Learning the Transformer Kernel

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  [openreview] [pdf] [bib] [code]

• Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks

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  [openreview] [pdf] [bib] [code]

• Deformation Robust Roto-Scale-Translation Equivariant CNNs

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  [openreview] [pdf] [bib] [code]

• On the link between conscious function and general intelligence in humans and machines

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  [openreview] [pdf] [bib]
  Certifications: Survey

• Non-Deterministic Behavior of Thompson Sampling with Linear Payoffs and How to Avoid It

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  [openreview] [pdf] [bib] [code]
  Certifications: Reproducibility

• Structural Learning in Artificial Neural Networks: A Neural Operator Perspective

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  [openreview] [pdf] [bib]
  Certifications: Survey

• Adversarial Feature Augmentation and Normalization for Visual Recognition

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  [openreview] [pdf] [bib] [code]

• Your Policy Regularizer is Secretly an Adversary

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  [openreview] [pdf] [bib]

• How Expressive are Transformers in Spectral Domain for Graphs?

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  [openreview] [pdf] [bib] [code]

• Robust and Data-efficient Q-learning by Composite Value-estimation

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  [openreview] [pdf] [bib] [code]

• Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation

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  [openreview] [pdf] [bib] [code]

• The Graph Cut Kernel for Ranked Data

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  [openreview] [pdf] [bib] [code]

• NoiLin: Improving adversarial training and correcting stereotype of noisy labels

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  [openreview] [pdf] [bib] [code]

• Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities

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  [openreview] [pdf] [bib] [code]

• Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress

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  [openreview] [pdf] [bib] [code]

• Decoding EEG With Spiking Neural Networks on Neuromorphic Hardware

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  [openreview] [pdf] [bib] [code]

• Understanding Linearity of Cross-Lingual Word Embedding Mappings

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  [openreview] [pdf] [bib] [code]

• Clustering units in neural networks: upstream vs downstream information

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  [openreview] [pdf] [bib] [code]

• TLDR: Twin Learning for Dimensionality Reduction

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  [openreview] [pdf] [bib] [code]

• Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning

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  [openreview] [pdf] [bib] [code]

• Boosting Search Engines with Interactive Agents

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  [openreview] [pdf] [bib] [code]

• Greedy Bayesian Posterior Approximation with Deep Ensembles

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  [openreview] [pdf] [bib] [code]

• How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

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  [openreview] [pdf] [bib] [code]

• Auto-Lambda: Disentangling Dynamic Task Relationships

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  [openreview] [pdf] [bib] [code]

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