ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 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

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

11 February 2022
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
    NoLa
ArXivPDFHTML

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

11 / 11 papers shown
Title
Meta knowledge assisted Evolutionary Neural Architecture Search
Meta knowledge assisted Evolutionary Neural Architecture Search
Yangyang Li
Guanlong Liu
Ronghua Shang
L. Jiao
56
0
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
DiffM
MedIm
67
0
0
29 Apr 2025
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
28
4
0
13 May 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Kehui Ding
Jun Shu
Deyu Meng
Zongben Xu
NoLa
33
5
0
18 Jan 2023
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
Yuyin Zhou
Xianhang Li
Fengze Liu
Qingyue Wei
Xuxi Chen
Lequan Yu
Cihang Xie
M. Lungren
Lei Xing
NoLa
44
3
0
09 Feb 2022
Correlated Input-Dependent Label Noise in Large-Scale Image
  Classification
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
Mark Collier
Basil Mustafa
Efi Kokiopoulou
Rodolphe Jenatton
Jesse Berent
NoLa
181
53
0
19 May 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
414
142
0
13 Jan 2021
The Advantage of Conditional Meta-Learning for Biased Regularization and
  Fine-Tuning
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
34
39
0
25 Aug 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
365
11,700
0
09 Mar 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
267
1,275
0
06 Mar 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
243
446
0
28 Nov 2016
1