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Poster
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors
Qixun Wang · Yifei Wang · Hong Zhu · Yisen Wang
Workshop
Out-of-Distribution Generalization Challenge in Dialog State Tracking
Jiasheng Ye · Yawen Ouyang · Zhen Wu · Xinyu Dai
Workshop
Out-of-Distribution Generalization in Algorithmic Reasoning Through Curriculum Learning
Andrew Nam · Mustafa Abdool · Trevor Maxfield · James McClelland
Workshop
Relational Out-of-Distribution Generalization
Xinyu Yang · Xinyi Pan · Shengchao Liu · Huaxiu Yao
Workshop
Attention for Compositional Modularity
Oleksiy Ostapenko · Pau Rodriguez · Alexandre Lacoste · Laurent Charlin
Poster
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
Poster
Wed 14:00 Coordinate Linear Variance Reduction for Generalized Linear Programming
Chaobing Song · Cheuk Yin Lin · Stephen Wright · Jelena Diakonikolas
Workshop
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
Workshop
Toward domain generalized pruning by scoring out-of-distribution importance
RIZHAO CAI · Haoliang Li · Alex Kot
Poster
Learning Invariant Graph Representations for Out-of-Distribution Generalization
Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
Poster
Thu 14:00 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
Yibo Zeng · Henry Lam
Workshop
Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch · Jean Kaddour · Ricardo Silva