22 Results

Poster
Tue 7:00 Zeno++: Robust Fully Asynchronous SGD
Cong Xie, Sanmi Koyejo, Indranil Gupta
Poster
Tue 7:00 The Effect of Natural Distribution Shift on Question Answering Models
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt
Poster
Tue 8:00 NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo, Shahin Boluki, Xinyu Gong, Zhangyang Wang, Xiaoning Qian
Poster
Tue 8:00 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang
Poster
Tue 9:00 Robustness to Spurious Correlations via Human Annotations
Megha Srivastava, Tatsunori Hashimoto, Percy Liang
Poster
Tue 9:00 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, Zico Kolter
Poster
Tue 9:00 An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa, aditi raghunathan, Pang Wei Koh, Percy Liang
Poster
Tue 10:00 Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain, Alon Orlitsky
Poster
Tue 11:00 Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon
Poster
Tue 11:00 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari, Anshul Kundaje, Avanti Shrikumar
Poster
Tue 11:00 Stochastically Dominant Distributional Reinforcement Learning
John Martin, Michal Lyskawinski, Xiaohu Li, Brendan Englot
Poster
Wed 5:00 Identifying Statistical Bias in Dataset Replication
Logan Engstrom, Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Jacob Steinhardt, Aleksander Madry
Poster
Wed 8:00 Individual Calibration with Randomized Forecasting
Shengjia Zhao, Tengyu Ma, Stefano Ermon
Poster
Wed 10:00 Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Angelos Filos, Panagiotis Tigas, Rowan McAllister, Nicholas Rhinehart, Sergey Levine, Yarin Gal
Poster
Wed 10:00 Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei Efros, University of California Moritz Hardt
Poster
Wed 13:00 On the Sample Complexity of Adversarial Multi-Source PAC Learning
Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert
Poster
Thu 6:00 Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj, Yoram Bresler, Bo Li
Poster
Thu 6:00 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang, Noah Simon
Poster
Thu 6:00 Interpreting Robust Optimization via Adversarial Influence Functions
Zhun Deng, Cynthia Dwork, Jialiang Wang, Linjun Zhang
Poster
Thu 7:00 Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang, Yuzhe Ma, Adish Singla, Jerry Zhu
Poster
Thu 9:00 Evaluating Machine Accuracy on ImageNet
Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt
Poster
Thu 14:00 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alex Chan, Ahmed Alaa, Zhaozhi Qian, Mihaela van der Schaar