ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.05613
  4. Cited By
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep
  Learning
v1v2v3 (latest)

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
11 February 2022
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
    NoLa
ArXiv (abs)PDFHTMLGithub (29★)

Papers citing "CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning"

17 / 17 papers shown
Satellite to Street : Disaster Impact Estimator
Satellite to Street : Disaster Impact Estimator
Sreesritha Sai
Sai Venkata Suma Sreeja
Deepthi
Nikhil
99
0
0
24 Nov 2025
Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
Not All Pixels Are Equal: Pixel-wise Meta-Learning for Medical Segmentation with Noisy Labels
Chenyu Mu
Guihai Chen
Xun Yang
Erkun Yang
Cheng Deng
220
0
0
24 Nov 2025
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation
Jiyu Guo
Shuo Yang
Yiming Huang
Yancheng Long
Xiaobo Xia
Xiu Su
Bo Zhao
Zeke Xie
Liqiang Nie
252
2
0
28 Oct 2025
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
271
3
0
30 Apr 2025
T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection
T2ID-CAS: Diffusion Model and Class Aware Sampling to Mitigate Class Imbalance in Neck Ultrasound Anatomical Landmark Detection
Manikanta Varaganti
Amulya Vankayalapati
Nour Awad
Gregory R. Dion
Laura J. Brattain
DiffMMedIm
300
1
0
29 Apr 2025
Generalized Sparse Additive Model with Unknown Link Function
Generalized Sparse Additive Model with Unknown Link FunctionIndustrial Conference on Data Mining (IDM), 2024
Peipei Yuan
Xinge You
Hao Chen
Xuelin Zhang
Qinmu Peng
437
2
0
08 Oct 2024
Group Benefits Instances Selection for Data Purification
Group Benefits Instances Selection for Data Purification
Zhenhuang Cai
Chuanyi Zhang
Dan Huang
Yuanbo Chen
Xiuyun Guan
Yazhou Yao
NoLa
315
0
0
23 Mar 2024
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?
Chenqiang Gao
Chuandong Liu
Jun Shu
Fangcen Liu
Jiang-Dong Liu
Luyu Yang
Xinbo Gao
Deyu Meng
253
3
0
05 Mar 2024
Data Optimization in Deep Learning: A Survey
Data Optimization in Deep Learning: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Ou Wu
Rujing Yao
377
7
0
25 Oct 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
378
5
0
13 May 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Improve Noise Tolerance of Robust Loss via Noise-AwarenessIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
302
11
0
18 Jan 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Mitigating Memorization of Noisy Labels by Clipping the Model PredictionInternational Conference on Machine Learning (ICML), 2022
Jianguo Huang
Huiping Zhuang
Renchunzi Xie
Lei Feng
Gang Niu
Bo An
Shouqing Yang
VLMNoLa
538
51
0
08 Dec 2022
Dynamic Loss For Robust Learning
Dynamic Loss For Robust LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shenwang Jiang
Jianan Li
Jizhou Zhang
Ying Wang
Tingfa Xu
NoLaOOD
391
14
0
22 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets
A Survey of Dataset Refinement for Problems in Computer Vision DatasetsACM Computing Surveys (ACM CSUR), 2022
Zhijing Wan
Zhixiang Wang
CheukTing Chung
Zheng Wang
421
17
0
21 Oct 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseComputer Vision and Pattern Recognition (CVPR), 2022
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Ziqiang Li
Cihang Xie
M. Lungren
Lei Xing
NoLa
322
17
0
09 Feb 2022
Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks
Jun Shu
Deyu Meng
Zongben Xu
378
13
0
06 Jul 2021
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks
MLR-SNet: Transferable LR Schedules for Heterogeneous TasksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jun Shu
Yanwen Zhu
Qian Zhao
Zongben Xu
Deyu Meng
384
8
0
29 Jul 2020
1
Page 1 of 1