Results

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	Tue 14:00	Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter
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