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A Topological Filter for Learning with Label Noise

A Topological Filter for Learning with Label Noise

9 December 2020
Pengxiang Wu
Songzhu Zheng
Mayank Goswami
Dimitris N. Metaxas
Chao Chen
    NoLa
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Papers citing "A Topological Filter for Learning with Label Noise"

18 / 68 papers shown
Title
Learning with Noisy Labels by Efficient Transition Matrix Estimation to
  Combat Label Miscorrection
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
33
15
0
29 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
24
18
0
22 Nov 2021
Trigger Hunting with a Topological Prior for Trojan Detection
Trigger Hunting with a Topological Prior for Trojan Detection
Xiaoling Hu
Xiaoyu Lin
Michael Cogswell
Yi Yao
Susmit Jha
Chao Chen
AAML
16
46
0
15 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
21
20
0
06 Oct 2021
NGC: A Unified Framework for Learning with Open-World Noisy Data
NGC: A Unified Framework for Learning with Open-World Noisy Data
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
11
80
0
25 Aug 2021
A Tale Of Two Long Tails
A Tale Of Two Long Tails
Daniel D'souza
Zach Nussbaum
Chirag Agarwal
Sara Hooker
29
22
0
27 Jul 2021
Topological Detection of Trojaned Neural Networks
Topological Detection of Trojaned Neural Networks
Songzhu Zheng
Yikai Zhang
H. Wagner
Mayank Goswami
Chao Chen
AAML
29
40
0
11 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy
  Labels
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Xiaobo Xia
Tongliang Liu
Bo Han
Biwei Huang
Jun Yu
Gang Niu
Masashi Sugiyama
NoLa
17
110
0
01 Jun 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial
  Awareness
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness
Glenn Dawson
R. Polikar
NoLa
39
3
0
28 May 2021
Friends and Foes in Learning from Noisy Labels
Friends and Foes in Learning from Noisy Labels
Yifan Zhou
Yifan Ge
Jianxin Wu
NoLa
20
2
0
28 Mar 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding
Approximating Instance-Dependent Noise via Instance-Confidence Embedding
Yivan Zhang
Masashi Sugiyama
33
8
0
25 Mar 2021
Detecting Label Noise via Leave-One-Out Cross-Validation
Detecting Label Noise via Leave-One-Out Cross-Validation
Yu-Hang Tang
Yuanran Zhu
W. A. Jong
22
3
0
21 Mar 2021
FINE Samples for Learning with Noisy Labels
FINE Samples for Learning with Noisy Labels
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
30
103
0
23 Feb 2021
Learning Noise Transition Matrix from Only Noisy Labels via Total
  Variation Regularization
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
Yivan Zhang
Gang Niu
Masashi Sugiyama
NoLa
33
78
0
04 Feb 2021
How Does a Neural Network's Architecture Impact Its Robustness to Noisy
  Labels?
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels?
Jingling Li
Mozhi Zhang
Keyulu Xu
John P. Dickerson
Jimmy Ba
OOD
NoLa
24
19
0
23 Dec 2020
Localization in the Crowd with Topological Constraints
Localization in the Crowd with Topological Constraints
Shahira Abousamra
Minh Hoai
Dimitris Samaras
Chao Chen
27
132
0
23 Dec 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
24
960
0
16 Jul 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
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