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Oral Session
Wed 9:00 Oral 3: Learning from distribution shift
Poster
Tue 10:30 Leveraging unlabeled data to predict out-of-distribution performance
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi
Oral
Wed 9:00 Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Poster
Tue 2:30 Handling Distribution Shifts on Graphs: An Invariance Perspective
Qitan Wu · Hengrui Zhang · Junchi Yan · David Wipf
Poster
Mon 2:30 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Victor Weixin Liang · James Y Zou
Poster
Tue 18:30 Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Poster
Wed 18:30 Tracking the risk of a deployed model and detecting harmful distribution shifts
Aleksandr Podkopaev · Aaditya Ramdas
Workshop
Transfer Fairness under Distribution Shifts
Bang An · Zora Che · Mucong Ding · Furong Huang
Poster
Wed 2:30 Mapping conditional distributions for domain adaptation under generalized target shift
Matthieu Kirchmeyer · alain rakotomamonjy · Emmanuel de B├ęzenac · patrick gallinari
Poster
Tue 10:30 LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
Huan Liu · George Zhang · Jun Chen · Ashish Khisti
Oral
Wed 9:30 A Fine-Grained Analysis on Distribution Shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil
Poster
Mon 2:30 A Fine-Grained Analysis on Distribution Shift
Olivia Wiles · Sven Gowal · Florian Stimberg · Sylvestre-Alvise Rebuffi · Ira Ktena · Krishnamurthy Dvijotham · Ali Taylan Cemgil