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Partial Label Supervision for Agnostic Generative Noisy Label Learning

Partial Label Supervision for Agnostic Generative Noisy Label Learning

2 August 2023
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
    NoLa
ArXivPDFHTML

Papers citing "Partial Label Supervision for Agnostic Generative Noisy Label Learning"

15 / 15 papers shown
Title
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative
  Modeling
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Yuchen Zhuang
Yue Yu
Lingkai Kong
Xiang Chen
Chao Zhang
NoLa
SyDa
AI4CE
58
13
0
30 May 2023
Blind Knowledge Distillation for Robust Image Classification
Blind Knowledge Distillation for Robust Image Classification
Timo Kaiser
Lukas Ehmann
Christoph Reinders
Bodo Rosenhahn
NoLa
40
13
0
21 Nov 2022
Instance-dependent Label-noise Learning under a Structural Causal Model
Instance-dependent Label-noise Learning under a Structural Causal Model
Yu Yao
Tongliang Liu
Biwei Huang
Bo Han
Gang Niu
Kun Zhang
CML
NoLa
44
71
0
07 Sep 2021
Learning from Noisy Labels for Entity-Centric Information Extraction
Learning from Noisy Labels for Entity-Centric Information Extraction
Wenxuan Zhou
Muhao Chen
NoLa
48
65
0
17 Apr 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
58
127
0
22 Dec 2020
When Optimizing $f$-divergence is Robust with Label Noise
When Optimizing fff-divergence is Robust with Label Noise
Jiaheng Wei
Yang Liu
34
54
0
07 Nov 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
86
561
0
30 Jun 2020
Does label smoothing mitigate label noise?
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
135
348
0
05 Mar 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
336
509
0
05 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
86
1,021
0
18 Feb 2020
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise
  Rates
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu
Hongyi Guo
NoLa
43
238
0
08 Oct 2019
Are Anchor Points Really Indispensable in Label-Noise Learning?
Are Anchor Points Really Indispensable in Label-Noise Learning?
Xiaobo Xia
Tongliang Liu
N. Wang
Bo Han
Chen Gong
Gang Niu
Masashi Sugiyama
NoLa
60
377
0
01 Jun 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy
  Labels
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
53
383
0
13 May 2019
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
114
1,801
0
16 Jun 2017
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
395
16,962
0
20 Dec 2013
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