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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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Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Sicheng Zhu · Bang An · Furong Huang · Sanghyun Hong
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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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Robust Deep Learning via Layerwise Tilted Exponentials
Bhagyashree Puranik · Ahmad Beirami · Yao Qin · Upamanyu Madhow
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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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Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Data
Kevin Kasa · Graham Taylor
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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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