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153 Results
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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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Wed 8:45 |
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang · Ye Shi · Jingya Wang |
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Workshop
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Sat 9:30 |
Contributed Talks |
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Poster
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Thu 8:45 |
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions Yuriy Biktairov · Jyotirmoy Deshmukh |
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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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AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn |
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Poster
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Tue 15:15 |
Optimal Transport Model Distributional Robustness Van-Anh Nguyen · Trung Le · Anh Bui · Thanh-Toan Do · Dinh Phung |
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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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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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Workshop
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Sat 12:30 |
Invited Talk by Databricks |
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Poster
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Thu 15:00 |
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs Lin Yang · Junlong Lyu · Wenlong Lyu · Zhitang Chen |