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2304.09355
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To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
19 April 2023
Ravid Shwartz-Ziv
Yann LeCun
SSL
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Papers citing
"To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review"
16 / 16 papers shown
Title
Modality Interactive Mixture-of-Experts for Fake News Detection
Yifan Liu
Y. Liu
Z. Li
Ruichen Yao
Yang Zhang
Dong Wang
MoE
31
0
0
21 Jan 2025
"Efficient Complexity": a Constrained Optimization Approach to the Evolution of Natural Intelligence
Serge Dolgikh
31
0
0
31 Dec 2024
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang
Sharut Gupta
Xinyi Zhang
Sana Tonekaboni
Stefanie Jegelka
Tommi Jaakkola
Caroline Uhler
DRL
32
1
0
31 Oct 2024
Training Foundation Models as Data Compression: On Information, Model Weights and Copyright Law
Giorgio Franceschelli
Claudia Cevenini
Mirco Musolesi
39
0
0
18 Jul 2024
Nonlinear time-series embedding by monotone variational inequality
Jonathan Y. Zhou
Yao Xie
AI4TS
29
0
0
11 Jun 2024
High-Dimension Human Value Representation in Large Language Models
Samuel Cahyawijaya
Delong Chen
Yejin Bang
Leila Khalatbari
Bryan Wilie
Ziwei Ji
Etsuko Ishii
Pascale Fung
63
5
0
11 Apr 2024
A self-supervised framework for learning whole slide representations
X. Hou
Cheng Jiang
A. Kondepudi
Yiwei Lyu
Asadur Chowdury
Honglak Lee
Todd C. Hollon
MedIm
26
5
0
09 Feb 2024
TURBO: The Swiss Knife of Auto-Encoders
Guillaume Quétant
Yury Belousov
Vitaliy Kinakh
S. Voloshynovskiy
19
6
0
11 Nov 2023
Large Language Models at Work in China's Labor Market
Qin Chen
Jinfeng Ge
Huaqing Xie
Xingcheng Xu
Yanqing Yang
39
1
0
17 Aug 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning
Namkyeong Lee
Dongmin Hyun
Gyoung S. Na
Sungwon Kim
Junseok Lee
Chanyoung Park
30
22
0
29 Apr 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
Ravid Shwartz-Ziv
Micah Goldblum
Hossein Souri
Sanyam Kapoor
Chen Zhu
Yann LeCun
A. Wilson
UQCV
BDL
56
43
0
20 May 2022
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
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
57
48
0
27 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
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
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
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