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		Toward domain generalized pruning by scoring out-of-distribution importance RIZHAO CAI · Haoliang Li · Alex Kot
Workshop		Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance Aengus Lynch · Jean Kaddour · Ricardo Silva
Workshop		Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance Aengus Lynch · Jean Kaddour · Ricardo Silva
Workshop		Attention for Compositional Modularity Oleksiy Ostapenko · Pau Rodriguez · Alexandre Lacoste · Laurent Charlin
Poster		Learning Invariant Graph Representations for Out-of-Distribution Generalization Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
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
Workshop		Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma
Workshop		Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma