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Learning Noise Transition Matrix from Only Noisy Labels via Total
  Variation Regularization

Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization

4 February 2021
Yivan Zhang
Gang Niu
Masashi Sugiyama
    NoLa
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Papers citing "Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization"

12 / 12 papers shown
Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
Bo Yuan
Yulin Chen
Yin Zhang
Wei Jiang
NoLa
30
6
0
03 Apr 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise
Learning Causal Transition Matrix for Instance-dependent Label Noise
Jiahui Li
Tai-wei Chang
Kun Kuang
Ximing Li
Long Chen
Jun Zhou
NoLa
CML
112
0
0
18 Dec 2024
f-Divergence Minimization for Sequence-Level Knowledge Distillation
f-Divergence Minimization for Sequence-Level Knowledge Distillation
Yuqiao Wen
Zichao Li
Wenyu Du
Lili Mou
25
53
0
27 Jul 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
14
12
0
22 May 2023
FedMT: Federated Learning with Mixed-type Labels
FedMT: Federated Learning with Mixed-type Labels
Qiong Zhang
Jing Peng
Xin Zhang
A. Talhouk
Gang Niu
Xiaoxiao Li
FedML
23
0
0
05 Oct 2022
Towards Robust Adaptive Object Detection under Noisy Annotations
Towards Robust Adaptive Object Detection under Noisy Annotations
Xinyu Liu
Wuyang Li
Qiushi Yang
Baopu Li
Yixuan Yuan
11
29
0
06 Apr 2022
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
13
10
0
18 Jun 2021
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
112
119
0
04 Feb 2021
Robustness of Accuracy Metric and its Inspirations in Learning with
  Noisy Labels
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
92
33
0
08 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-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
488
0
05 Mar 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
NoLa
6
104
0
11 Jan 2020
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
170
0
24 May 2019
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