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. 2401.10474
  4. Cited By
LDReg: Local Dimensionality Regularized Self-Supervised Learning

LDReg: Local Dimensionality Regularized Self-Supervised Learning

19 January 2024
Hanxun Huang
R. Campello
S. Erfani
Xingjun Ma
Michael E. Houle
James Bailey
ArXivPDFHTML

Papers citing "LDReg: Local Dimensionality Regularized Self-Supervised Learning"

12 / 12 papers shown
Title
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
Yong Xie
Weijie Zheng
Hanxun Huang
Guangnan Ye
Xingjun Ma
AAML
72
1
0
20 Nov 2024
Towards a Unified Theoretical Understanding of Non-contrastive Learning
  via Rank Differential Mechanism
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Zhijian Zhuo
Yifei Wang
Jinwen Ma
Yisen Wang
45
24
0
04 Mar 2023
RankMe: Assessing the downstream performance of pretrained
  self-supervised representations by their rank
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
50
72
0
05 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation
  Learning
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
45
33
0
29 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
83
40
0
13 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
178
182
0
13 Oct 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
124
187
0
02 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
188
453
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
197
260
0
18 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
1