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48 Results
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Poster
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Thu 8:45 |
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui · Qitian Wu · Jiancan Wu · Qing Cui · Longfei Li · Jun Zhou · Xiang Wang · Xiangnan He |
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Workshop
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Fri 7:00 |
Workshop on Distribution Shifts: New Frontiers with Foundation Models Rebecca Roelofs · Fanny Yang · Hongseok Namkoong · Masashi Sugiyama · Jacob Eisenstein · Pang Wei Koh · Shiori Sagawa · Tatsunori Hashimoto · Yoonho Lee |
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Workshop
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Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts Xiruo Ding · Zhecheng Sheng · Brian Hur · Feng Chen · Serguei Pakhomov · Trevor Cohen |
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Poster
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Wed 8:45 |
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng (Stephen) Jiang · Xiaotian Han · Hongye Jin · Guanchu Wang · Rui Chen · Na Zou · Xia Hu |
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Poster
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Thu 8:45 |
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift Florian Seligmann · Philipp Becker · Michael Volpp · Gerhard Neumann |
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Workshop
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Understanding subgroup performance differences of fair predictors using causal models Stephen Pfohl · Natalie Harris · Chirag Nagpal · David Madras · Vishwali Mhasawade · Olawale Salaudeen · Katherine Heller · Sanmi Koyejo · Alexander D'Amour |
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Workshop
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Turn Down the Noise: Leveraging Diffusion Models for Test-time Adaptation via Pseudo-label Ensembling Mrigank Raman · Rohan Shah · Akash Kannan · Pranit Chawla |
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Affinity Workshop
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Unraveling the Effects of Age-Based Distribution Shifts on Medical Image Classifiers Kumail Alhamoud · Yasir Ghunaim · Motasem Alfarra · Philip Torr · Tom Hartvigsen · Bernard Ghanem · Adel Bibi · Marzyeh Ghassemi |
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Poster
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Wed 8:45 |
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems Tongtong Fang · Nan Lu · Gang Niu · Masashi Sugiyama |
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Workshop
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How the level sampling process impacts zero-shot generalisation in deep reinforcement learning Samuel Garcin · James Doran · Shangmin Guo · Christopher G Lucas · Stefano Albrecht |
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Workshop
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Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng · Kristjan Greenewald · Luann Jung · Kangwook Lee · Justin Solomon · Mikhail Yurochkin |
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Workshop
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Fri 11:35 |
Does CLIP’s generalization performance mainly stem from high train-test similarity? Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel |