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Poster
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Wed 8:45
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On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
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Workshop
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Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization
Patrick Chatain · Adam Oberman
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Workshop
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Towards out-of-distribution generalization: robust networks learn similar representations
Yash Gondhalekar · Sultan Hassan · Naomi Saphra · Sambatra Andrianomena
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Workshop
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Causal Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí · Georg Martius
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Poster
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Thu 8:45
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Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Yongqiang Chen · Wei Huang · Kaiwen Zhou · Yatao Bian · Bo Han · James Cheng
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Workshop
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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
Kaican Li · Yifan Zhang · Lanqing Hong · Zhenguo Li · Nevin L. Zhang
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Poster
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Wed 15:00
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Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui · Meng Liu · Xiner Li · Youzhi Luo · Shuiwang Ji
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Poster
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Wed 15:00
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ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation
Zhitong Gao · Shipeng Yan · Xuming He
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Workshop
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Retrieval-based Language Models Using a Multi-domain Datastore
Rulin Shao · Sewon Min · Luke Zettlemoyer · Pang Wei Koh
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Workshop
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Learning to ignore: Single Source Domain Generalization via Oracle Regularization
Dong Kyu Cho · Sanghack Lee
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Poster
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Wed 15:00
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Towards Distribution-Agnostic Generalized Category Discovery
Jianhong Bai · Zuozhu Liu · Hualiang Wang · Ruizhe Chen · Lianrui Mu · Xiaomeng Li · Joey Tianyi Zhou · YANG FENG · Jian Wu · Haoji Hu
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Workshop
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Discovering environments with XRM
Mohammad Pezeshki · Diane Bouchacourt · Mark Ibrahim · Nicolas Ballas · Pascal Vincent · David Lopez-Paz
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