Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2308.01184
Cited By
Partial Label Supervision for Agnostic Generative Noisy Label Learning
2 August 2023
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
NoLa
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
Wenxuan Zhou
Muhao Chen
NoLa
48
65
0
17 Apr 2021
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
f
f
-divergence is Robust with Label Noise
Jiaheng Wei
Yang Liu
34
54
0
07 Nov 2020
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?
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
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
336
509
0
05 Mar 2020
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
Yang Liu
Hongyi Guo
NoLa
43
238
0
08 Oct 2019
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
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
53
383
0
13 May 2019
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
Diederik P. Kingma
Max Welling
BDL
395
16,962
0
20 Dec 2013
1