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Poster
Out-of-distribution Representation Learning for Time Series Classification
Wang Lu · Jindong Wang · Xinwei Sun · Yiqiang Chen · Xing Xie
Poster
Mon 7:30 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans · Phillip Isola
Oral
Mon 6:40 Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans · Phillip Isola
Poster
Mon 7:30 Can CNNs Be More Robust Than Transformers?
Zeyu Wang · Yutong Bai · Yuyin Zhou · Cihang Xie
Poster
Free Lunch for Domain Adversarial Training: Environment Label Smoothing
YiFan Zhang · xue wang · Jian Liang · Zhang Zhang · Liang Wang · Rong Jin · Tieniu Tan
Workshop
Thu 4:00 Conservative Prediction via Transductive Confidence Minimization
Caroline Choi · Fahim Tajwar · Yoonho Lee · Huaxiu Yao · Ananya Kumar · Chelsea Finn
Poster
Wed 2:30 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement
Yoonho Lee · Huaxiu Yao · Chelsea Finn
Poster
Mon 2:30 Why (and When) does Local SGD Generalize Better than SGD?
Xinran Gu · Kaifeng Lyu · Longbo Huang · Sanjeev Arora
Poster
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
Griffin Floto · Stefan Kremer · Mihai Nica
Workshop
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf · Maximilian Müller · Matthias Hein
Poster
Mon 7:30 Constraining Representations Yields Models That Know What They Don't Know
Joao Monteiro · Pau Rodriguez Lopez · Pierre-André Noël · Issam Laradji · David Vazquez