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2209.06235
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Improving Self-Supervised Learning by Characterizing Idealized Representations
13 September 2022
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
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Papers citing
"Improving Self-Supervised Learning by Characterizing Idealized Representations"
22 / 22 papers shown
Title
Can Masked Autoencoders Also Listen to Birds?
Lukas Rauch
Ilyass Moummad
René Heinrich
Alexis Joly
Bernhard Sick
Christoph Scholz
29
0
0
17 Apr 2025
Locality Alignment Improves Vision-Language Models
Ian Covert
Tony Sun
James Y. Zou
Tatsunori Hashimoto
VLM
67
3
0
14 Oct 2024
InfoNCE: Identifying the Gap Between Theory and Practice
E. Rusak
Patrik Reizinger
Attila Juhos
Oliver Bringmann
Roland S. Zimmermann
Wieland Brendel
33
5
0
28 Jun 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning
Hanxun Huang
R. Campello
S. Erfani
Xingjun Ma
Michael E. Houle
James Bailey
28
5
0
19 Jan 2024
No Representation Rules Them All in Category Discovery
S. Vaze
Andrea Vedaldi
Andrew Zisserman
OOD
34
31
0
28 Nov 2023
Quantifying the Variability Collapse of Neural Networks
Jing-Xue Xu
Haoxiong Liu
33
4
0
06 Jun 2023
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
15
34
0
24 May 2023
How does Contrastive Learning Organize Images?
Yunzhe Zhang
Yao Lu
Qi Xuan
SSL
24
0
0
17 May 2023
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation
Florian Bordes
Samuel Lavoie
Randall Balestriero
Nicolas Ballas
Pascal Vincent
SSL
32
5
0
11 Apr 2023
Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head
Randall Balestriero
38
3
0
20 Feb 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
20
9
0
27 Dec 2022
SynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
Ching-Yun Ko
Pin-Yu Chen
Jeet Mohapatra
Payel Das
Lucani E. Daniel
19
3
0
06 Oct 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
127
83
0
06 Oct 2021
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
119
187
0
02 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
Dissecting Supervised Contrastive Learning
Florian Graf
Christoph Hofer
Marc Niethammer
Roland Kwitt
SSL
111
69
0
17 Feb 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
122
165
0
29 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
236
190
0
12 Jan 2021
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster
Rattana Pukdee
Tom Rainforth
53
22
0
19 Oct 2020
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
58
22
0
16 Oct 2020
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