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ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation

ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation

25 May 2022
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
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Papers citing "ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation"

3 / 3 papers shown
Title
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
Negative Data Augmentation
Negative Data Augmentation
Abhishek Sinha
Kumar Ayush
Jiaming Song
Burak Uzkent
Hongxia Jin
Stefano Ermon
29
72
0
09 Feb 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
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