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Randolph Linderman

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Conference and Workshop Papers

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2023
[c2]
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  - conf/collas/LindermanZILC23
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Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs 2023: 162-183
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  - conf/wacv/ZhangILCL23
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Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529

Informal and Other Publications

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2024
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  - journals/corr/abs-2404-10865
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Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen:
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. CoRR abs/2404.10865 (2024)
2023
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  - journals/corr/abs-2303-14531
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Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023)
2022
[i1]
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  - journals/corr/abs-2209-04493
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Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022)

Coauthor Index

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