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Representation Learning via Non-Contrastive Mutual Information

Representation Learning via Non-Contrastive Mutual Information

23 April 2025
Z. Guo
Bernardo Avila-Pires
Khimya Khetarpal
Dale Schuurmans
Bo Dai
    SSL
ArXiv (abs)PDFHTML

Papers citing "Representation Learning via Non-Contrastive Mutual Information"

16 / 16 papers shown
Title
Spectral Representation for Causal Estimation with Hidden Confounders
Spectral Representation for Causal Estimation with Hidden Confounders
Zhaolin Ren
Haotian Sun
Antoine Moulin
Arthur Gretton
Bo Dai
CML
116
3
0
15 Jul 2024
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
76
11
0
09 Feb 2023
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
110
30
0
06 Dec 2022
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
78
26
0
11 Oct 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
85
322
0
08 Jun 2021
VICReg: Variance-Invariance-Covariance Regularization for
  Self-Supervised Learning
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Adrien Bardes
Jean Ponce
Yann LeCun
SSLDML
153
945
0
11 May 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
347
2,368
0
04 Mar 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
225
286
0
12 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
260
4,076
0
20 Nov 2020
Contrastive learning, multi-view redundancy, and linear models
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh
A. Krishnamurthy
Daniel J. Hsu
SSL
99
167
0
24 Aug 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
423
6,849
0
13 Jun 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
120
1,338
0
20 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
395
18,897
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 2019
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
122
924
0
23 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
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