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272 Results
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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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Towards out-of-distribution generalizable predictions of chemical kinetics properties Zihao Wang · Yongqiang Chen · Yang Duan · Weijiang Li · Bo Han · James Cheng · Hanghang Tong · Hanghang Tong |
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TrustAffinity: accurate, reliable and scalable out-of-distribution protein-ligand binding affinity prediction using trustworthy deep learning Amitesh Badkul · Li Xie · Shuo Zhang · Lei Xie |
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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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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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Diffusion-based Semantic-Discrepant Outlier Generation for Out-of-Distribution Detection Suhee Yoon · Sanghyu Yoon · Hankook Lee · Sangjun Han · Ye Seul Sim · Kyungeun Lee · Hyeseung Cho · Woohyung Lim |
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Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings Annie Chen · Yoonho Lee · Amrith Setlur · Sergey Levine · Chelsea Finn |
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Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment Annie Chen · Govind Chada · Laura Smith · Archit Sharma · Zipeng Fu · Sergey Levine · Chelsea Finn |
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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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Learning to ignore: Single Source Domain Generalization via Oracle Regularization Dong Kyu Cho · Sanghack Lee |
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Fri 11:55 |
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang · Jingkang Yang · Pengyun Wang · Haoqi Wang · Yueqian Lin · Haoran Zhang · Yiyou Sun · Xuefeng Du · Kaiyang Zhou · Wayne Zhang · Yixuan Li · Ziwei Liu · Yiran Chen · Hai Li |
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Workshop
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Learning Causally-Aware Representations of Multi-Agent Interactions Yuejiang Liu · Ahmad Rahimi · Po-Chien Luan · Frano Rajič · Alexandre Alahi |