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Robust Self-Supervised Learning with Lie Groups

Robust Self-Supervised Learning with Lie Groups

24 October 2022
Mark Ibrahim
Diane Bouchacourt
Ari S. Morcos
    SSL
    OOD
ArXivPDFHTML

Papers citing "Robust Self-Supervised Learning with Lie Groups"

13 / 13 papers shown
Title
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural
  Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
88
1
0
16 Dec 2024
Manifold Contrastive Learning with Variational Lie Group Operators
Manifold Contrastive Learning with Variational Lie Group Operators
Kion Fallah
Alec Helbling
Kyle A. Johnsen
Christopher Rozell
SSL
DRL
13
1
0
23 Jun 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
31
270
0
24 Apr 2023
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
258
7,337
0
11 Nov 2021
Learning Identity-Preserving Transformations on Data Manifolds
Learning Identity-Preserving Transformations on Data Manifolds
Marissa Connor
Kion Fallah
Christopher Rozell
14
6
0
22 Jun 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
236
206
0
17 Feb 2021
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Efficient-CapsNet: Capsule Network with Self-Attention Routing
Vittorio Mazzia
Francesco Salvetti
Marcello Chiaberge
3DPC
MedIm
70
172
0
29 Jan 2021
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
66
46
0
16 Oct 2020
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
328
0
22 Jul 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
204
402
0
12 Mar 2020
Weakly-Supervised Disentanglement Without Compromises
Weakly-Supervised Disentanglement Without Compromises
Francesco Locatello
Ben Poole
Gunnar Rätsch
Bernhard Schölkopf
Olivier Bachem
Michael Tschannen
CoGe
OOD
DRL
171
311
0
07 Feb 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
149
308
0
05 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
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