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Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection

Huafeng Liu
Mengmeng Sheng
Zeren Sun
Yazhou Yao
Xian-Sheng Hua
Jikang Cheng
    NoLa
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Papers citing "Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection"

5 / 5 papers shown
Title
Combating Noisy Labels via Dynamic Connection Masking
Combating Noisy Labels via Dynamic Connection Masking
Xinlei Zhang
Fan Liu
Chuanyi Zhang
Fan Cheng
Yuhui Zheng
NoLa
50
0
0
13 Aug 2025
Robust Dynamic Facial Expression Recognition
Robust Dynamic Facial Expression Recognition
Feng Liu
Hanyang Wang
Siyuan Shen
105
1
0
22 Feb 2025
Applications of Knowledge Distillation in Remote Sensing: A Survey
Applications of Knowledge Distillation in Remote Sensing: A Survey
Yassine Himeur
N. Aburaed
O. Elharrouss
Iraklis Varlamis
Shadi Atalla
Shadi Atalla
Hussain Al Ahmad
122
4
0
18 Sep 2024
Combating noisy labels by agreement: A joint training method with co-regularization
Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2025
Jianguo Huang
Lei Feng
Xiangyu Chen
Bo An
NoLa
584
557
0
05 Mar 2020
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
454
16,027
0
25 Dec 2016

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