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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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Toward domain generalized pruning by scoring out-of-distribution importance
RIZHAO CAI · Haoliang Li · Alex Kot
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Workshop
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Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch · Jean Kaddour · Ricardo Silva
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Workshop
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Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization Performance
Aengus Lynch · Jean Kaddour · Ricardo Silva
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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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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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Workshop
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Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma
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Workshop
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Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
Parikshit Bansal · Yashoteja Prabhu · Emre Kiciman · Amit Sharma
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