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31 Results
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Poster
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Density-driven Regularization for Out-of-distribution Detection Wenjian Huang · Hao Wang · Jiahao Xia · Chengyan Wang · Jianguo Zhang |
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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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Tue 14:00 |
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects Xuefeng Du · Gabriel Gozum · Yifei Ming · Yixuan Li |
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Workshop
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StyleGAN2-based Out-of-Distribution Detection for Medical Imaging McKell Woodland · John Wood · Caleb O'Connor · Ankit Patel · Kristy Brock |
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Poster
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RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song · Nicu Sebe · Wei Wang |
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Poster
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Tue 9:00 |
Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming · Ziyang Cai · Jiuxiang Gu · Yiyou Sun · Wei Li · Yixuan Li |
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Poster
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Tue 14:00 |
GAPX: Generalized Autoregressive Paraphrase-Identification X Yifei Zhou · Renyu Li · Hayden Housen · Ser Nam Lim |
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Poster
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Thu 9:00 |
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness Francesco Pinto · Harry Yang · Ser Nam Lim · Philip Torr · Puneet Dokania |
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Workshop
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HEAT: Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon · Clément Rambour · Nicolas THOME |
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Poster
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Wed 14:00 |
Introspective Learning : A Two-Stage approach for Inference in Neural Networks Mohit Prabhushankar · Ghassan AlRegib |
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Workshop
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Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei · Mohammadreza Salehi · Sajjad Shahabi · Efstratios Gavves · Cees Snoek · Mohammad Sabokrou · Mohammad Hossein Rohban |
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Poster
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Tue 9:00 |
Is Out-of-Distribution Detection Learnable? Zhen Fang · Yixuan Li · Jie Lu · Jiahua Dong · Bo Han · Feng Liu |