Papers
Online Optimization with Memory and Competitive Control
Guanya Shi, Yiheng Lin, Soon-Jo Chung et al.
Optimally Deceiving a Learning Leader in Stackelberg Games
Georgios Birmpas, Jiarui Gan, Alexandros Hollender et al.
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Yawei Luo, Ping Liu, Tao Guan et al.
Unsupervised Translation of Programming Languages
Baptiste Roziere, Marie-Anne Lachaux, Lowik Chanussot et al.
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Joao Marques-Silva, Thomas Gerspacher, Martin Cooper et al.
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko, Pavel Izmailov, Andrew G Wilson
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo, Haishan Ye, Zhichao Huang et al.
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh, Been Kim, Sercan Arik et al.
A Limitation of the PAC-Bayes Framework
Roi Livni, Shay Moran
Information-theoretic Task Selection for Meta-Reinforcement Learning
Ricardo Luna Gutierrez, Matteo Leonetti
Differentiable Top-k with Optimal Transport
Yujia Xie, Hanjun Dai, Minshuo Chen et al.
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Yangxin Wu, Gengwei Zhang, Hang Xu et al.
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
Benjamin Biggs, David Novotny, Sebastien Ehrhardt et al.
Agnostic Learning with Multiple Objectives
Corinna Cortes, Mehryar Mohri, Javier Gonzalvo et al.
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
Oindrila Saha, Aditya Kusupati, Harsha Vardhan Simhadri et al.
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby, Yu-Xiang Wang
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi
Graph Information Bottleneck
Tailin Wu, Hongyu Ren, Pan Li et al.
Online Learning with Primary and Secondary Losses
Avrim Blum, Han Shao
Position-based Scaled Gradient for Model Quantization and Pruning
Jangho Kim, KiYoon Yoo, Nojun Kwak
Online Matrix Completion with Side Information
Mark Herbster, Stephen Pasteris, Lisa Tse
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
Jingtong Su, Yihang Chen, Tianle Cai et al.
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh, Thomas Wolf, Alexander Rush
Consistent Plug-in Classifiers for Complex Objectives and Constraints
Shiv Kumar Tavker, Harish Guruprasad Ramaswamy, Harikrishna Narasimhan
Learning Parities with Neural Networks
Amit Daniely, Eran Malach