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58 Results
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Poster
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Thu 8:45 |
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning Yang Yang · Yuxuan Zhang · XIN SONG · Yi Xu |
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Poster
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Tue 15:15 |
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error RENCHUNZI XIE · Hongxin Wei · Lei Feng · Yuzhou Cao · Bo An |
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Workshop
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Invariance & Causal Representation Learning: Prospects and Limitations Simon Bing · Jonas Wahl · Urmi Ninad · Jakob Runge |
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Poster
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Wed 15:00 |
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection Chao Chen · Zhihang Fu · Kai Liu · Ze Chen · Mingyuan Tao · Jieping Ye |
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Workshop
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Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu · Yilong Qin · Runtian Zhai · Andrew Shen · Ketong Chen · Zhenlin Wang · Soheil Kolouri · Simon Stepputtis · Joseph Campbell · Katia Sycara |
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Workshop
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Causal Influence Aware Counterfactual Data Augmentation Núria Armengol Urpí · Georg Martius |
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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 Korlakai Vinayak |
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Workshop
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Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter |
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Poster
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Tue 15:15 |
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng · Qizhou Wang · Zhen Fang · Xiaobo Xia · Feng Liu · Tongliang Liu · Bo Han |
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Workshop
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Fri 13:30 |
Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter |
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Poster
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Wed 15:00 |
Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu · Yilong Qin · Runtian Zhai · Andrew Shen · Ketong Chen · Zhenlin Wang · Soheil Kolouri · Simon Stepputtis · Joseph Campbell · Katia Sycara |
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Poster
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Wed 8:45 |
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning Charles Guille-Escuret · Pau Rodriguez · David Vazquez · Ioannis Mitliagkas · Joao Monteiro |