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Workshop
Non-Robust Feature Mapping in Deep Reinforcement Learning
Ezgi Korkmaz
Workshop
Secure Byzantine-Robust Distributed Learning via Clustering
Raj Kiriti Velicheti · Sanmi Koyejo
Poster
Tue 16:30 Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Qi Zhu · Natalia Ponomareva · Jiawei Han · Bryan Perozzi
Poster
Wed 0:30 Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim · Byung-Kwan Lee · Yong Man Ro
Affinity Workshop
Modeling complex prosocial behavior: Robustness and neuroethics in translational rodent experiments
Gordon Dash
Datasets and Benchmarks
Fri 0:10 Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Boxin Wang · Chejian Xu · Shuohang Wang · Zhe Gan · Yu Cheng · Jianfeng Gao · Ahmed Awadallah · Bo Li
Workshop
Interactive Robust Policy Optimization for Multi-Agent Reinforcement Learning
Videh Nema · Balaraman Ravindran
Workshop
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data
Kumud Lakara · Akshat Bhandari · Pratinav Seth · Ujjwal Verma
Competition
Tue 10:44 Breakout: Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift
Workshop
Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning
Zachary Nado · Neil Band · Mark Collier · Josip Djolonga · Mike Dusenberry · Sebastian Farquhar · Qixuan Feng · Angelos Filos · Marton Havasi · Rodolphe Jenatton · Ghassen Jerfel · Jeremiah Liu · Zelda Mariet · Jeremy Nixon · Shreyas Padhy · Jie Ren · Tim G. J. Rudner · Yeming Wen · Florian Wenzel · Kevin Murphy · D. Sculley · Balaji Lakshminarayanan · Jasper Snoek · Yarin Gal · Dustin Tran
Workshop
Certifiably Robust Variational Autoencoders
Ben Barrett · Alexander Camuto · Matthew Willetts · Thomas Rainforth
Workshop
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos Panousis · Sotirios Chatzis · Sergios Theodoridis