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15 Results

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Poster
Tue 10:30 Revisiting flow generative models for Out-of-distribution detection
Dihong Jiang · Sun Sun · Yaoliang Yu
Poster
Mon 10:30 Igeood: An Information Geometry Approach to Out-of-Distribution Detection
Eduardo Dadalto Câmara Gomes · Florence Alberge · Pierre Duhamel · Pablo Piantanida
Poster
Mon 10:30 Illiterate DALL-E Learns to Compose
Gautam Singh · Fei Deng · Sungjin Ahn
Poster
Wed 10:30 A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks
Matan Haroush · Tzviel Frostig · Ruth Heller · Daniel Soudry
Poster
Wed 18:30 Tracking the risk of a deployed model and detecting harmful distribution shifts
Aleksandr Podkopaev · Aaditya Ramdas
Poster
Tue 18:30 Invariant Causal Representation Learning for Out-of-Distribution Generalization
Chaochao Lu · Yuhuai Wu · José Miguel Hernández Lobato · Bernhard Schoelkopf
Poster
Tue 10:30 Leveraging unlabeled data to predict out-of-distribution performance
Saurabh Garg · Sivaraman Balakrishnan · Zachary Lipton · Behnam Neyshabur · Hanie Sedghi
Poster
Thu 2:30 Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li · Yongxing Dai · Yixiao Ge · Jun Liu · Ying Shan · LINGYU DUAN
Poster
Tue 18:30 Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Oral
Wed 9:00 Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
Ananya Kumar · Aditi Raghunathan · Robbie Jones · Tengyu Ma · Percy Liang
Poster
Mon 10:30 Vision-Based Manipulators Need to Also See from Their Hands
Kyle Hsu · Moo Kim · Rafael Rafailov · Jiajun Wu · Chelsea Finn
Poster
Thu 18:30 Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
Aahlad Puli · Lily Zhang · Eric Oermann · Rajesh Ranganath