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. 2110.04947
  4. Cited By
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision

Towards Demystifying Representation Learning with Non-contrastive Self-supervision

11 October 2021
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
    SSL
ArXivPDFHTML

Papers citing "Towards Demystifying Representation Learning with Non-contrastive Self-supervision"

23 / 23 papers shown
Title
Representation Learning via Non-Contrastive Mutual Information
Representation Learning via Non-Contrastive Mutual Information
Z. Guo
Bernardo Avila-Pires
Khimya Khetarpal
Dale Schuurmans
Bo Dai
SSL
61
0
0
23 Apr 2025
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
  Defense
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense
Jeremy A. Styborski
Mingzhi Lyu
Y. Huang
Adams Kong
39
0
0
13 Sep 2024
Investigating the Benefits of Projection Head for Representation
  Learning
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue
Eric Gan
Jiayi Ni
Siddharth Joshi
Baharan Mirzasoleiman
41
10
0
18 Mar 2024
$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections
VkD:V_kD:Vk​D: Improving Knowledge Distillation using Orthogonal Projections
Roy Miles
Ismail Elezi
Jiankang Deng
44
10
0
10 Mar 2024
Feature Normalization Prevents Collapse of Non-contrastive Learning
  Dynamics
Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
Han Bao
SSL
MLT
29
1
0
28 Sep 2023
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR
  Segmentation with Traffic Applications
A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications
Xiao Li
Pan He
Aotian Wu
Sanjay Ranka
Anand Rangarajan
3DPC
16
1
0
23 Aug 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
44
273
0
24 Apr 2023
Rethinking Evaluation Protocols of Visual Representations Learned via
  Self-supervised Learning
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning
Jaehoon Lee
Doyoung Yoon
Byeongmoon Ji
Kyungyul Kim
Sangheum Hwang
SSL
55
3
0
07 Apr 2023
Random Teachers are Good Teachers
Random Teachers are Good Teachers
Felix Sarnthein
Gregor Bachmann
Sotiris Anagnostidis
Thomas Hofmann
21
4
0
23 Feb 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
Pierre Harvey Richemond
Allison C. Tam
Yunhao Tang
Florian Strub
Bilal Piot
Felix Hill
SSL
28
9
0
09 Feb 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
41
9
0
12 Jan 2023
Implicit variance regularization in non-contrastive SSL
Implicit variance regularization in non-contrastive SSL
Manu Srinath Halvagal
Axel Laborieux
Friedemann Zenke
36
8
0
09 Dec 2022
Understanding Self-Predictive Learning for Reinforcement Learning
Understanding Self-Predictive Learning for Reinforcement Learning
Yunhao Tang
Z. Guo
Pierre Harvey Richemond
Bernardo Avila-Pires
Yash Chandak
...
S. Thakoor
Will Dabney
Bilal Piot
Daniele Calandriello
Michal Valko
SSL
27
28
0
06 Dec 2022
Understanding the Role of Nonlinearity in Training Dynamics of
  Contrastive Learning
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning
Yuandong Tian
MLT
18
13
0
02 Jun 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global
  and Local Spectral Embedding Methods
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero
Yann LeCun
SSL
18
129
0
23 May 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen
Yuanzhi Li
SSL
27
34
0
12 May 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
30
28
0
29 Mar 2022
One Network Doesn't Rule Them All: Moving Beyond Handcrafted
  Architectures in Self-Supervised Learning
One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning
Sharath Girish
Debadeepta Dey
Neel Joshi
Vibhav Vineet
S. Shah
C. C. T. Mendes
Abhinav Shrivastava
Yale Song
SSL
40
2
0
15 Mar 2022
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Y. Zou
Linjun Zhang
SSL
51
48
0
06 Oct 2021
Learning distinct features helps, provably
Learning distinct features helps, provably
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
MLT
30
6
0
10 Jun 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
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
5,775
0
29 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