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Cited By
FINE Samples for Learning with Noisy Labels
23 February 2021
Taehyeon Kim
Jongwoo Ko
Sangwook Cho
J. Choi
Se-Young Yun
NoLa
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Papers citing
"FINE Samples for Learning with Noisy Labels"
10 / 10 papers shown
Title
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
Weiran Pan
Wei Wei
Feida Zhu
Yong Deng
NoLa
100
0
0
24 Apr 2025
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
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyan Hu
Shipeng Yan
Zhitong Gao
Xuming He
NoLa
16
4
0
20 Jun 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Jiayi Han
Longbin Zeng
Liang Du
Weiyang Ding
Jianfeng Feng
OOD
TTA
19
13
0
15 Jan 2023
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
19
2
0
01 Dec 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration
Manyi Zhang
Yuxin Ren
Zihao W. Wang
C. Yuan
16
3
0
11 Oct 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss
B. Felfeliyan
A. Hareendranathan
G. Kuntze
S. Wichuk
Nils D. Forkert
Jacob L. Jaremko
J. Ronsky
NoLa
21
2
0
16 Sep 2022
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
Yifan Wang
Lin Zhang
Ran Song
Hongliang Li
Lin Ma
Wei Emma Zhang
17
6
0
19 Jul 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
K. Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
24
27
0
28 May 2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
19
18
0
22 Nov 2021
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