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Poster
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Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang · Yifei Wang · Hong Zhu · Yisen Wang
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Workshop
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Out-of-Distribution Generalization Challenge in Dialog State Tracking
Jiasheng Ye · Yawen Ouyang · Zhen Wu · Xinyu Dai
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Workshop
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Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland
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Workshop
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Relational Out-of-Distribution Generalization
Xinyu Yang · Xinyi Pan · Shengchao Liu · Huaxiu Yao
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Workshop
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Attention for Compositional Modularity
Oleksiy Ostapenko · Pau Rodriguez · Alexandre Lacoste · Laurent Charlin
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Poster
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
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Workshop
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Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units
Marliawaty I Gusti Bagus · Tiago Marques · Sachi Sanghavi · James J DiCarlo · Martin Schrimpf
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Poster
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Wed 14:00
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Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song · Cheuk Yin Lin · Stephen Wright · Jelena Diakonikolas
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Workshop
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Toward domain generalized pruning by scoring out-of-distribution importance
RIZHAO CAI · Haoliang Li · Alex Kot
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Poster
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Learning Invariant Graph Representations for Out-of-Distribution Generalization
Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
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Poster
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Tue 14:00
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Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter
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Poster
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Thu 14:00
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Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
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