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174 Results
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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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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 |
Stochastic Approximation Approaches to Group Distributionally Robust Optimization Lijun Zhang · Peng Zhao · Zhen-Hua Zhuang · Tianbao Yang · Zhi-Hua Zhou |
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Workshop
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Outlier-Robust Group Inference via Gradient Space Clustering Yuchen Zeng · Kristjan Greenewald · Luann Jung · Kangwook Lee · Justin Solomon · Mikhail Yurochkin |
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Workshop
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Sat 8:30 |
Unbalanced Optimal Transport: Efficient solutions for outlier-robust machine learning (Laetitia Chapel) |
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Workshop
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Discovering environments with XRM Mohammad Pezeshki · Diane Bouchacourt · Mark Ibrahim · Nicolas Ballas · Pascal Vincent · David Lopez-Paz |
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Poster
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Tue 15:15 |
Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu · Jiawei Chen · Jiancan Wu · Wentao Shi · Xiang Wang · Xiangnan He |
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Poster
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Tue 15:15 |
Outlier-Robust Gromov-Wasserstein for Graph Data Lemin Kong · Jiajin Li · Jianheng Tang · Anthony Man-Cho So |
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Poster
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Thu 15:00 |
Outlier-Robust Wasserstein DRO Sloan Nietert · Ziv Goldfeld · Soroosh Shafiee |
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Workshop
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Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen · Kaize Ding · Shixiang Zhu |
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Poster
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Wed 8:45 |
On the Adversarial Robustness of Out-of-distribution Generalization Models Xin Zou · Weiwei Liu |
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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 |