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Oral Session
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Wed 9:00 |
Oral 3: Learning from distribution shift |
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Poster
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Tue 10:30 |
Leveraging unlabeled data to predict out-of-distribution performance Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi |
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Oral
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Wed 9:00 |
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang |
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Poster
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Tue 2:30 |
Handling Distribution Shifts on Graphs: An Invariance Perspective Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf |
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Poster
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Mon 2:30 |
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Victor Weixin Liang · James Y Zou |
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Poster
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Tue 18:30 |
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang |