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94 Results
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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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Workshop
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Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts Kaican Li · Yifan Zhang · Lanqing Hong · Zhenguo Li · Nevin L. Zhang |
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Workshop
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Towards out-of-distribution generalization: robust networks learn similar representations Yash Gondhalekar · Sultan Hassan · Naomi Saphra · Sambatra Andrianomena |
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Poster
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Thu 8:45 |
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou · Jindong Wang · Yu-Xiong Wang · Haohan Wang |
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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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Workshop
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Learning to ignore: Single Source Domain Generalization via Oracle Regularization Dong Kyu Cho · Sanghack Lee |
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Poster
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Tue 15:15 |
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations Lifan Yuan · Yangyi Chen · Ganqu Cui · Hongcheng Gao · FangYuan Zou · Xingyi Cheng · Heng Ji · Zhiyuan Liu · Maosong Sun |
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Poster
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Wed 15:00 |
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Zhitong Gao · Shipeng Yan · Xuming He |
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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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Tue 8:45 |
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions Lingdong Kong · Shaoyuan Xie · Hanjiang Hu · Lai Xing Ng · Benoit Cottereau · Wei Tsang Ooi |
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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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Workshop
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Discovering environments with XRM Mohammad Pezeshki · Diane Bouchacourt · Mark Ibrahim · Nicolas Ballas · Pascal Vincent · David Lopez-Paz |