| A sampling-based circuit for optimal decision making |
Camille Rullán Buxó · Cristina Savin |
| Across-animal odor decoding by probabilistic manifold alignment |
Pedro Herrero-Vidal · Dmitry Rinberg · Cristina Savin |
| Offline RL Without Off-Policy Evaluation |
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna |
| Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics |
Carles Domingo i Enrich · Youssef Mroueh |
| Dangers of Bayesian Model Averaging under Covariate Shift |
Pavel Izmailov · Patrick Nicholson · Sanae Lotfi · Andrew Wilson |
| Conditioning Sparse Variational Gaussian Processes for Online Decision-making |
Wesley Maddox · Samuel Stanton · Andrew Wilson |
| Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser |
Zahra Kadkhodaie · Eero P Simoncelli |
| Bayesian Optimization with High-Dimensional Outputs |
Wesley Maddox · Maximilian Balandat · Andrew Wilson · Eytan Bakshy |
| Impression learning: Online representation learning with synaptic plasticity |
Colin Bredenberg · Benjamin Lyo · Eero P Simoncelli · Cristina Savin |
| Differentiable Spline Approximations |
Minsu Cho · Aditya Balu · Ameya Joshi · Anjana Deva Prasad · Biswajit Khara · Soumik Sarkar · Baskar Ganapathysubramanian · Adarsh Krishnamurthy · Chinmay Hegde |
| On the Cryptographic Hardness of Learning Single Periodic Neurons |
Min Jae Song · Ilias Zadik · Joan Bruna |
| Adaptive Denoising via GainTuning |
Sreyas Mohan · Joshua L Vincent · Ramon Manzorro · Peter Crozier · Carlos Fernandez-Granda · Eero P Simoncelli |
| Residual Pathway Priors for Soft Equivariance Constraints |
Marc Finzi · Greg Benton · Andrew Wilson |
| Does Knowledge Distillation Really Work? |
Samuel Stanton · Pavel Izmailov · Polina Kirichenko · Alex A Alemi · Andrew Wilson |
| Inverse-Weighted Survival Games |
Xintian Han · Mark Goldstein · Aahlad Puli · Thomas Wies · Adler Perotte · Rajesh Ranganath |
| Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others |
Kanishk Gandhi · Gala Stojnic · Brenden Lake · Moira R Dillon |
| Hard-Attention for Scalable Image Classification |
Athanasios Papadopoulos · Pawel Korus · Nasir Memon |
| Implicit Sparse Regularization: The Impact of Depth and Early Stopping |
Jiangyuan Li · Thanh V Nguyen · Chinmay Hegde · Raymond K. W. Wong |
| Learning Distilled Collaboration Graph for Multi-Agent Perception |
Yiming Li · Shunli Ren · Pengxiang Wu · Siheng Chen · Chen Feng · Wenjun Zhang |
| Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning |
Aakash Kaku · Sahana Upadhya · Narges Razavian |
| Automatic Data Augmentation for Generalization in Reinforcement Learning |
Roberta Raileanu · Maxwell Goldstein · Denis Yarats · Ilya Kostrikov · Rob Fergus |
| Scalars are universal: Equivariant machine learning, structured like classical physics |
Soledad Villar · David W Hogg · Kate Storey-Fisher · Weichi Yao · Ben Blum-Smith |
| Circa: Stochastic ReLUs for Private Deep Learning |
Zahra Ghodsi · Nandan Kumar Jha · Brandon Reagen · Siddharth Garg |
| Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization |
Clement Gehring · Kenji Kawaguchi · Jiaoyang Huang · Leslie Kaelbling |
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Maxwell Nye · MH Tessler · Josh Tenenbaum · Brenden Lake |
| Dynamic Trace Estimation |
Prathamesh Dharangutte · Christopher Musco |
| True Few-Shot Learning with Language Models |
Ethan Perez · Douwe Kiela · Kyunghyun Cho |
| On the Existence of The Adversarial Bayes Classifier |
Pranjal Awasthi, Natalie Frank, Mehryar Mohri |
| Calibration and Consistency of Adversarial Surrogate Losses |
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong |
| Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training |
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu |
| On the Sample Complexity of Learning under Geometric Stability |
Alberto Bietti, Luca Venturi, Joan Bruna |
| On the interplay between data structure and loss function in classification problems |
Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli |
| Large-Scale Unsupervised Object Discovery |
Huy V. Vo, Elena Sizikova, Cordelia Schmid, Patrick Perez, Jean Ponce |
| Hash Layers For Large Sparse Models |
Stephen Roller · Sainbayar Sukhbaatar · arthur d szlam · Jason Weston |
| A Biased Graph Neural Network Sampler with Near-Optimal Regret |
Qingru Zhang · David P Wipf · Quan Gan · Le Song |
| Controlling Neural Networks with Rule Representations |
Sungyong Seo · Sercan Arik · Jinsung Yoon · Xiang Zhang · Kihyuk Sohn · Tomas Pfister |
| Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance |
Justin Lim, Christina X Ji, Michael Oberst, Saul Blecker, Leora Horwitz, David Sontag |
| Neural Active Learning with Performance Guarantees |
Zhilei Wang, Pranjal Awasthi, Christoph Dann, Ayush Sekhari, Claudio Gentile |
| GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction |
Longyuan Li, Jian Yao, Li Kevin Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, Zheng Zhang |
| Embedding Principle of Loss Landscape of Deep Neural Networks |
Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhiqin Xu |
| IRM—when it works and when it doesn’t: A test case of natural language inference |
Yana Dranker, He He, Yonatan Belinkov |
| Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II |
Yossi Arjevani · Michael Field |
| A Normative and Biologically Plausible Algorithm for Independent Component Analysis |
Yanis Bahroun, Dmitri Chklovskii, Anirvan M. Sengupta |
| Neural optimal feedback control with local learning rules |
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri Chklovskii |
| Autobahn: Automorphism-based Graph Neural Nets |
Erik Henning Thiede . Wenda Zhou . Risi Kondor |