| A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training |
Randall Balestriero, Ishan Misra, Yann LeCun |
| A Deep Reinforcement Learning Framework for Column Generation |
Cheng Chi, Amine Aboussalah, Elias Khalil, Juyoung Wang, Zoha Sherkat-Masoumi |
| Are All Losses Created Equal: A Neural Collapse Perspective |
Jinxin Zhou, Chong You, Xiao Li, Kangning Liu, Sheng Liu, Qing Qu, Zhihui Zhu |
| Asymptotics of smoothed Wasserstein distances in the small noise regime |
Yunzi Ding, Jonathan Niles-Weed |
| Behavior Transformers: Cloning k modes with one stone |
Nur Muhammad Shafiullah, Zichen Cui, Ariuntuya (Arty) Altanzaya, Lerrel Pinto |
| Biological Learning of Irreducible Representations of Commuting Transformations |
Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri Chklovskii |
| Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers |
Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Wilson |
| Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone |
Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang |
| Combining Implicit and Explicit Regularization for Efficient Learning in Deep Networks |
Dan Zhao |
| Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy |
Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan Sengupta, Dmitri Chklovskii |
| Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods |
Randall Balestriero, Yann LeCun |
| D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data |
Hai Shu, Zhe Qu, Hongtu Zhu |
| Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs |
Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey Markowitz, Sandeep R Datta, Alex Williams, Scott Linderman |
| Distributional Convergence of the Sliced Wasserstein Process |
Jiaqi Xi, Jonathan Niles-Weed |
| Exponential Separations in Symmetric Neural Networks |
Aaron Zweig, Joan Bruna |
| Feature Learning in L2-regularized DNNs: Attraction/Repulsion and Sparsity |
Arthur Jacot, Eugene Golikov, Clement Hongler, Franck Gabriel |
| FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning |
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Wang, Zhaoran Wang, Jian Guo |
| Generative multitask learning mitigates target-causing confounding |
Taro Makino, Krzysztof Geras, Kyunghyun Cho |
| High-dimensional limit theorems for SGD: Effective dynamics and critical scaling |
Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath |
| HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces |
Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han |
| Instability and Local Minima in GAN Training with Kernel Discriminators |
Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson Fletcher |
| Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds |
Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han |
| Learning Optimal Flows for Non-Equilibrium Importance Sampling |
Yu Cao, Eric Vanden-Eijnden |
| Learning single-index models with shallow neural networks |
Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song |
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Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart |
| Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions |
Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman |
| Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis |
Mengwei Ren, Neel Dey, Martin Styner, Kelly Botteron, Guido Gerig |
| Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors |
Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero Simoncelli, E.J. Chichilnisky |
| Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification |
Junpei Komiyama, Taira Tsuchiya, Junya Honda |
| Multi-Class H-Consistency Bounds |
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong |
| Non-stationary Bandits with Knapsacks |
Shang Liu, Jiashuo Jiang, Xiaocheng Li |
| On Feature Learning in the Presence of Spurious Correlations |
Pavel Izmailov, Polina Kirichenko, Nate Gruver, Andrew Wilson |
| On Non-Linear operators for Geometric Deep Learning |
Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon |
| On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification |
Sanyam Kapoor, Wesley Maddox, Pavel Izmailov, Andrew Wilson |
| PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization |
Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Wilson |
| Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors |
Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Wilson |
| projUNN: efficient method for training deep networks with unitary matrices |
Bobak Kiani, Randall Balestriero, Yann LeCun, Seth Lloyd |
| Reinforcement Learning with Automated Auxiliary Loss Search |
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li |
| SeqPATE: Differentially Private Text Generation via Knowledge Distillation |
Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He |
| Society of Agents: Regrets Bounds of Concurrent Thompson Sampling |
Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou |
| StrokeRehab: A Benchmark Dataset for Sub-second Action Identification |
Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda |
| The Effects of Regularization and Data Augmentation are Class Dependent |
Randall Balestriero, Leon Bottou, Yann LeCun |
| Unsupervised Reinforcement Learning with Contrastive Intrinsic Control |
Michael Laskin, Hao Liu, Xue Bin Peng, Denis Yarats, Aravind Rajeswaran, Pieter Abbeel |
| VICRegL: Self-Supervised Learning of Local Visual Features |
Adrien Bardes, Jean Ponce, Yann LeCun |
| VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning |
Che Wang, Xufang Luo, Keith Ross, Dongsheng Li |
| What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? |
Nikolaos Tsilivis, Julia Kempe |
| When does return-conditioned supervised learning work for offline reinforcement learning? |
David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna |