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Confidence Scores Make Instance-dependent Label-noise Learning Possible

Confidence Scores Make Instance-dependent Label-noise Learning Possible

11 January 2020
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
    NoLa
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Papers citing "Confidence Scores Make Instance-dependent Label-noise Learning Possible"

11 / 61 papers shown
Title
Tackling Instance-Dependent Label Noise via a Universal Probabilistic
  Model
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model
Qizhou Wang
Bo Han
Tongliang Liu
Gang Niu
Jian Yang
Chen Gong
NoLa
17
26
0
14 Jan 2021
A Symmetric Loss Perspective of Reliable Machine Learning
A Symmetric Loss Perspective of Reliable Machine Learning
Nontawat Charoenphakdee
Jongyeong Lee
Masashi Sugiyama
19
0
0
05 Jan 2021
A Second-Order Approach to Learning with Instance-Dependent Label Noise
A Second-Order Approach to Learning with Instance-Dependent Label Noise
Zhaowei Zhu
Tongliang Liu
Yang Liu
NoLa
19
126
0
22 Dec 2020
Beyond Class-Conditional Assumption: A Primary Attempt to Combat
  Instance-Dependent Label Noise
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
Pengfei Chen
Junjie Ye
Guangyong Chen
Jingwei Zhao
Pheng-Ann Heng
NoLa
40
122
0
10 Dec 2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels
Xiaobo Xia
Tongliang Liu
Bo Han
Nannan Wang
Jiankang Deng
Jiatong Li
Yinian Mao
NoLa
16
11
0
02 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and
  Future
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
158
0
09 Nov 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng
Zhaowei Zhu
Xingyu Li
Yifei Gong
Xing Sun
Yang Liu
NoLa
27
200
0
05 Oct 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Part-dependent Label Noise: Towards Instance-dependent Label Noise
Xiaobo Xia
Tongliang Liu
Bo Han
Nannan Wang
Biwei Huang
Haifeng Liu
Gang Niu
Dacheng Tao
Masashi Sugiyama
NoLa
13
67
0
14 Jun 2020
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
Songhua Wu
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Nannan Wang
Haifeng Liu
Gang Niu
NoLa
13
53
0
14 Jun 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
319
498
0
05 Mar 2020
Learning from Binary Labels with Instance-Dependent Corruption
Learning from Binary Labels with Instance-Dependent Corruption
A. Menon
Brendan van Rooyen
Nagarajan Natarajan
NoLa
31
41
0
03 May 2016
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