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1

Towards robust inference against distribution shifts in computer vision

Towards robust inference against distribution shifts in computer vision

by Tang, Kaihua
Published 2021

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Thesis-Doctor of Philosophy

2

Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models

Generalized logit adjustment: Calibrating fine-tuned models by removing label bias in foundation models

by ZHU, Beier, TANG, Kaihua, SUN, Qianru, ZHANG, Hanwang
Published 2023

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3

Class is invariant to context and vice versa: On learning invariance for out-of-distribution generalization

Class is invariant to context and vice versa: On learning invariance for out-of-distribution generalization

by QI, Jiaxin, TANG, Kaihua, SUN, Qianru, HUA, Xian-Sheng, ZHANG, Hanwang
Published 2022

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