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35 Results
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Workshop
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Sat 12:05 |
Keynote I: Detecting and Adapting to Distribution Shift Chelsea Finn |
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Workshop
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Implications of Gaussian process kernel mismatch for out-of-distribution data Beau Coker · Finale Doshi-Velez |
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Poster
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Wed 17:00 |
Concept-based Explanations for Out-of-Distribution Detectors Jihye Choi · Jayaram Raghuram · Ryan Feng · Jiefeng Chen · Somesh Jha · Atul Prakash |
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Poster
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Thu 13:30 |
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships Yaming Guo · Kai Guo · Xiaofeng Cao · Tieru Wu · Yi Chang |
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Workshop
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Robust Deep Learning via Layerwise Tilted Exponentials Bhagyashree Puranik · Ahmad Beirami · Yao Qin · Upamanyu Madhow |
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Affinity Workshop
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Mon 19:15 |
Studying Generalization on Memory-Based Methods in Continual Learning Felipe del Rio · Julio Hurtado · Cristian Calderon · Alvaro Soto · Vincenzo Lomonaco |
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Workshop
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Towards Understanding Feature Learning in Out-of-Distribution Generalization Yongqiang Chen · Wei Huang · Kaiwen Zhou · Yatao Bian · Bo Han · James Cheng |
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Workshop
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Implications of kernel mismatch for OOD data Beau Coker · Finale Doshi-Velez |
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Workshop
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Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data Kevin Kasa · Graham Taylor |
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Poster
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Thu 13:30 |
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Rame · Kartik Ahuja · Jianyu Zhang · Matthieu Cord · Leon Bottou · David Lopez-Paz |
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Workshop
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Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan |