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. 2204.03632
  4. Cited By
The Effects of Regularization and Data Augmentation are Class Dependent

The Effects of Regularization and Data Augmentation are Class Dependent

7 April 2022
Randall Balestriero
Léon Bottou
Yann LeCun
ArXivPDFHTML

Papers citing "The Effects of Regularization and Data Augmentation are Class Dependent"

4 / 54 papers shown
Title
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
14
37
0
02 Jun 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut
You Only Cut Once: Boosting Data Augmentation with a Single Cut
Junlin Han
Pengfei Fang
Weihong Li
Jie Hong
M. Armin
Ian Reid
L. Petersson
Hongdong Li
25
27
0
28 Jan 2022
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
22
643
0
05 Oct 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
Previous
12