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DST: Data Selection and joint Training for Learning with Noisy Labels

DST: Data Selection and joint Training for Learning with Noisy Labels

1 March 2021
Yi Wei
Xue Mei
Xin Liu
Pengxiang Xu
    NoLa
ArXiv (abs)PDFHTML

Papers citing "DST: Data Selection and joint Training for Learning with Noisy Labels"

3 / 3 papers shown
FINE Samples for Learning with Noisy Labels
FINE Samples for Learning with Noisy LabelsNeural Information Processing Systems (NeurIPS), 2021
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
320
123
0
23 Feb 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
214
18
0
02 Dec 2020
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
977
650
0
05 Mar 2020
1
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