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Workshop
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Out-of-Distribution Robustness via Targeted Augmentations Irena Gao · Shiori Sagawa · Pang Wei Koh · Tatsunori Hashimoto · Percy Liang |
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Poster
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Thu 14:00 |
Generative multitask learning mitigates target-causing confounding Taro Makino · Krzysztof Geras · Kyunghyun Cho |
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Poster
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Tue 9:00 |
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free Alexander Meinke · Julian Bitterwolf · Matthias Hein |
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Poster
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Your Out-of-Distribution Detection Method is Not Robust! Mohammad Azizmalayeri · Arshia Soltani Moakhar · Arman Zarei · Reihaneh Zohrabi · Mohammad Manzuri · Mohammad Hossein Rohban |
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Poster
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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 |
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Poster
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Tue 14:00 |
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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Poster
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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 |
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Poster
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Thu 14:00 |
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang · Sergey Levine · Chelsea Finn |
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Affinity Workshop
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Improving Robustness to Distribution Shift with Methods from Differential Privacy Neha Hulkund |
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Workshop
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Sat 8:30 |
Fine-Tuning without Distortion: Improving Robustness to Distribution Shifts Percy Liang · Ananya Kumar |
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Workshop
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Distributionally Robust Bayesian Optimization with φ-divergences Hisham Husain · Vu Nguyen · Anton van den Hengel |
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Workshop
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Visual response inhibition for increased robustness of convolutional networks to distribution shifts Nicola Strisciuglio · George Azzopardi |