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Poster
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Wed 14:00 |
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang · Keng-Te Liao · Chang-Sheng Kao · Shou-De Lin |
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Poster
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Learning Substructure Invariance for Out-of-Distribution Molecular Representations Nianzu Yang · Kaipeng Zeng · Qitian Wu · Xiaosong Jia · Junchi Yan |
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Poster
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Tue 14:00 |
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel Seijin Kobayashi · Pau Vilimelis Aceituno · Johannes von Oswald |
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Poster
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Tue 9:00 |
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis Tim Pearce · Jong-Hyeon Jeong · yichen jia · Jun Zhu |
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Poster
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Tue 9:00 |
Evaluating Out-of-Distribution Performance on Document Image Classifiers Stefan Larson · Yi Yang Gordon Lim · Yutong Ai · David Kuang · Kevin Leach |
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Poster
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Tue 14:00 |
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui · Xiner Li · Limei Wang · Shuiwang Ji |
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Poster
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Tue 9:00 |
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang · Pengyun Wang · Dejian Zou · Zitang Zhou · Kunyuan Ding · WENXUAN PENG · Haoqi Wang · Guangyao Chen · Bo Li · Yiyou Sun · Xuefeng Du · Kaiyang Zhou · Wayne Zhang · Dan Hendrycks · Yixuan Li · Ziwei Liu |
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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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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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Poster
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Tue 14:00 |
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang · Qitian Wu · Qingsong Wen · Zhiqiang Zhou · Liang Sun · Junchi Yan |
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Poster
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Thu 9:00 |
Distribution-Informed Neural Networks for Domain Adaptation Regression Jun Wu · Jingrui He · Sheng Wang · Kaiyu Guan · Elizabeth Ainsworth |
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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 |