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Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection
29 November 2021
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
NoLa
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Papers citing
"Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection"
6 / 6 papers shown
Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression
C. Kim
Sangwoo Moon
Jihwan Moon
Dongyeon Woo
Gunhee Kim
NoLa
52
0
0
25 Feb 2025
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification
Xiaoyang Hao
Zhixi Feng
Tongqing Peng
Shuyuan Yang
NoLa
28
5
0
09 Aug 2024
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
112
120
0
04 Feb 2021
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
34
0
08 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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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