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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

29 November 2021
Seong Min Kye
Kwanghee Choi
Joonyoung Yi
Buru Chang
    NoLa
ArXivPDFHTML

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
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
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification
Xiaoyang Hao
Zhixi Feng
Tongqing Peng
Shuyuan Yang
NoLa
26
5
0
09 Aug 2024
Provably End-to-end Label-Noise Learning without Anchor Points
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
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
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
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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