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Workshop
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Yoonho Lee · Annie Chen · Fahim Tajwar · Ananya Kumar · Huaxiu Yao · Percy Liang · Chelsea Finn
Poster
Tue 14:00 Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
Nikolaj Thams · Michael Oberst · David Sontag
Poster
Thu 14:00 Estimating and Explaining Model Performance When Both Covariates and Labels Shift
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Thu 9:00 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu · Yash Chandak · Tatsunori Hashimoto · Emma Brunskill
Workshop
Fast Adaptation via Human Diagnosis of Task Distribution Shift
Andi Peng · Mark Ho · Aviv Netanyahu · Julie A Shah · Pulkit Agrawal
Workshop
Tackling Distribution Shifts in Federated Learning with Superquantile Aggregation
Krishna Pillutla · Yassine Laguel · Jérôme Malick · Zaid Harchaoui
Poster
Wed 9:00 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
Huaxiu Yao · Caroline Choi · Bochuan Cao · Yoonho Lee · Pang Wei Koh · Chelsea Finn
Poster
Thu 14:00 Fairness Transferability Subject to Bounded Distribution Shift
Yatong Chen · Reilly Raab · Jialu Wang · Yang Liu
Workshop
Exploring Human-AI Collaboration for Fair Algorithmic Hiring
Hyun Joo Shin · Anqi Liu
Poster
Wed 9:00 Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
Yao Qin · Chiyuan Zhang · Ting Chen · Balaji Lakshminarayanan · Alex Beutel · Xuezhi Wang
Workshop
Impact of realistic properties of the point spread function on classification tasks to reveal a possible distribution shift
Patrick Müller · Alexander Braun · Margret Keuper
Workshop
A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Defu Cao · Yousef El-Laham · Loc Trinh · Svitlana Vyetrenko · Yan Liu