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10 Results
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Workshop
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Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva · Kameron Shahabi · Vatsal Sharan |
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Workshop
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Implications of kernel mismatch for OOD data Beau Coker · Finale Doshi-Velez |
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Workshop
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Building One-class Detector for Anything: Open-vocabulary Zero-shot OOD Detection Using Text-image Models Yunhao Ge · Jie Ren · Jiaping Zhao · Kaifeng Chen · Andrew Gallagher · Laurent Itti · Balaji Lakshminarayanan |
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Workshop
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Towards Out-of-Distribution Adversarial Robustness |
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Workshop
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Birds of an Odd Feather: Guaranteed Out-of-Distribution (OOD) Novel Category Detection Yoav Wald · Suchi Saria |
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Workshop
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Towards Out-of-Distribution Adversarial Robustness Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan |
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Workshop
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Causal-structure Driven Augmentations for Text OOD Generalization Amir Feder · Yoav Wald · Claudia Shi · Suchi Saria · David Blei |
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Workshop
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Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples Abulhair Saparov · Richard Yuanzhe Pang · Vishakh Padmakumar · Nitish Joshi · Seyed Mehran Kazemi · Najoung Kim · He He |
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers Hossein Mirzaei · Mohammad Jafari · Hamid Reza Dehbashi · Ali Ansari · Sepehr Ghobadi · Masoud Hadi · Arshia Soltani Moakhar · Mohammad Azizmalayeri · Mahdieh Soleymani Baghshah · Mohammad H Rohban |
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers |