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Can Generative Models Improve Self-Supervised Representation Learning?
v1v2 (latest)

Can Generative Models Improve Self-Supervised Representation Learning?

9 March 2024
Sana Ayromlou
Arash Afkanpour
Vahid Reza Khazaie
Fereshteh Forghani
ArXiv (abs)PDFHTML

Papers citing "Can Generative Models Improve Self-Supervised Representation Learning?"

28 / 28 papers shown
Title
Synthetic Data from Diffusion Models Improves ImageNet Classification
Synthetic Data from Diffusion Models Improves ImageNet Classification
Shekoofeh Azizi
Simon Kornblith
Chitwan Saharia
Mohammad Norouzi
David J. Fleet
VLMDiffM
103
315
0
17 Apr 2023
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Hao Liu
Tom Zahavy
Volodymyr Mnih
Satinder Singh
SSL
95
7
0
19 Oct 2022
Masked Siamese Networks for Label-Efficient Learning
Masked Siamese Networks for Label-Efficient Learning
Mahmoud Assran
Mathilde Caron
Ishan Misra
Piotr Bojanowski
Florian Bordes
Pascal Vincent
Armand Joulin
Michael G. Rabbat
Nicolas Ballas
SSL
105
322
0
14 Apr 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated
  Images Without Supervision
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Priya Goyal
Quentin Duval
Isaac Seessel
Mathilde Caron
Ishan Misra
Levent Sagun
Armand Joulin
Piotr Bojanowski
VLMSSL
93
111
0
16 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
493
15,734
0
20 Dec 2021
High Fidelity Visualization of What Your Self-Supervised Representation
  Knows About
High Fidelity Visualization of What Your Self-Supervised Representation Knows About
Florian Bordes
Randall Balestriero
Pascal Vincent
DiffM
77
65
0
16 Dec 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
88
740
0
15 Nov 2021
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
ViTTPM
477
7,819
0
11 Nov 2021
Learning to See by Looking at Noise
Learning to See by Looking at Noise
Manel Baradad
Jonas Wulff
Tongzhou Wang
Phillip Isola
Antonio Torralba
81
92
0
10 Jun 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
166
1,235
0
30 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
268
7,938
0
11 May 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
944
0
11 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
724
6,127
0
29 Apr 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
2,362
0
04 Mar 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
352
3,716
0
18 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
Denoising Diffusion Implicit Models
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLMDiffM
289
7,469
0
06 Oct 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
261
4,098
0
17 Jun 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
398
6,837
0
13 Jun 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
387
18,866
0
13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
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
213
12,124
0
13 Nov 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
130
544
0
04 Jul 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
143
1,431
0
01 May 2019
Learning Semantic Segmentation from Synthetic Data: A Geometrically
  Guided Input-Output Adaptation Approach
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Yuhua Chen
Wen Li
Xiaoran Chen
Luc Van Gool
88
251
0
12 Dec 2018
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
141
852
0
13 Aug 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
443
3,215
0
30 Oct 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
92
142
0
31 May 2016
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