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Workshop
Out-of-Distribution Robustness via Targeted Augmentations
Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang
Poster
Thu 14:00 Generative multitask learning mitigates target-causing confounding
Taro Makino · Krzysztof Geras · Kyunghyun Cho
Poster
Tue 9:00 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
Alexander Meinke · Julian Bitterwolf · Matthias Hein
Poster
Your Out-of-Distribution Detection Method is Not Robust!
Mohammad Azizmalayeri · Arshia Soltani Moakhar · Arman Zarei · Reihaneh Zohrabi · Mohammad Manzuri · Mohammad Hossein Rohban
Poster
Thu 9:00 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu · Weili Nie · De-An Huang · Zhiding Yu · Tom Goldstein · Anima Anandkumar · Chaowei Xiao
Poster
Thu 9:00 Assaying Out-Of-Distribution Generalization in Transfer Learning
Florian Wenzel · Andrea Dittadi · Peter Gehler · Carl-Johann Simon-Gabriel · Max Horn · Dominik Zietlow · David Kernert · Chris Russell · Thomas Brox · Bernt Schiele · Bernhard Schölkopf · Francesco Locatello
Poster
Thu 14:00 MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang · Sergey Levine · Chelsea Finn