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Workshop
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Adversarial Data Augmentations for Out-of-Distribution Generalization
Simon Zhang · Ryan DeMilt · Kun Jin · Cathy Honghui Xia
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Workshop
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Birds of an Odd Feather: Guaranteed Out-of-Distribution (OOD) Novel Category Detection
Yoav Wald · Suchi Saria
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Poster
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Wed 17:00
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In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf · Maximilian Müller · Matthias Hein
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Workshop
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In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Julian Bitterwolf · Maximilian Müller · Matthias Hein
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Poster
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Thu 13:30
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Exploring Chemical Space with Score-based Out-of-distribution Generation
Seul Lee · Jaehyeong Jo · Sung Ju Hwang
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Poster
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Tue 14:00
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Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting
Shayan Shirahmad Gale Bagi · Zahra Gharaee · Oliver Schulte · Mark Crowley
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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
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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
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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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Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
Harit Vishwakarma · Heguang Lin · Ramya Vinayak
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Affinity Workshop
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Mon 19:15
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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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Implications of kernel mismatch for OOD data
Beau Coker · Finale Doshi-Velez
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