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2304.12210
Cited By
A Cookbook of Self-Supervised Learning
24 April 2023
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
Tom Goldstein
Florian Bordes
Adrien Bardes
Gregoire Mialon
Yuandong Tian
Avi Schwarzschild
A. Wilson
Jonas Geiping
Q. Garrido
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
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Papers citing
"A Cookbook of Self-Supervised Learning"
50 / 74 papers shown
Title
Contextures: Representations from Contexts
Runtian Zhai
Kai Yang
Che-Ping Tsai
Burak Varici
Zico Kolter
Pradeep Ravikumar
110
0
0
02 May 2025
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
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Thomas Kerdreux
A. Tuel
Quentin Febvre
A. Mouche
Bertrand Chapron
73
0
0
09 Apr 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
Wei Cui
Tongzi Wu
Jesse C. Cresswell
Yi Sui
Keyvan Golestan
60
0
0
12 Mar 2025
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
Yicen Li
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
Paul D. McNicholas
VLM
93
0
0
06 Feb 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
C. Ciușdel
Alex Serban
Tiziano Passerini
CoGe
69
1
0
03 Feb 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
Utku Ozbulak
Esla Timothy Anzaku
Solha Kang
W. D. Neve
J. Vankerschaver
50
0
0
28 Jan 2025
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
Zahra Gharaee
Scott C. Lowe
ZeMing Gong
Pablo Millán Arias
Nicholas Pellegrino
...
Lila Kari
Dirk Steinke
Graham W. Taylor
Paul Fieguth
Angel X. Chang
48
7
0
28 Jan 2025
AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery
Johann Wenckstern
Eeshaan Jain
Kiril Vasilev
Matteo Pariset
Andreas Wicki
Gabriele Gut
Charlotte Bunne
34
1
0
10 Jan 2025
Keypoint Aware Masked Image Modelling
Madhava Krishna
Convin.AI
67
0
0
03 Jan 2025
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations
Marcin Przewiȩźlikowski
Randall Balestriero
Wojciech Jasiński
Marek 'Smieja
Bartosz Zieliñski
69
0
0
04 Dec 2024
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL
Ömer Veysel Çağatan
Barış Akgün
OffRL
34
0
0
22 Oct 2024
What to align in multimodal contrastive learning?
Benoit Dufumier
J. Castillo-Navarro
D. Tuia
Jean-Philippe Thiran
27
3
0
11 Sep 2024
Contrastive Learning with Synthetic Positives
Dewen Zeng
Yawen Wu
Xinrong Hu
Xiaowei Xu
Yiyu Shi
SyDa
SSL
46
1
0
30 Aug 2024
Can Transformers Do Enumerative Geometry?
Baran Hashemi
Roderic G. Corominas
Alessandro Giacchetto
36
2
0
27 Aug 2024
The Benefits of Balance: From Information Projections to Variance Reduction
Lang Liu
Ronak R. Mehta
Soumik Pal
Zaïd Harchaoui
29
0
0
27 Aug 2024
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
Eric Zimmermann
Eugene Vorontsov
Julian Viret
Adam Casson
Michal Zelechowski
...
Razik Yousfi
Thomas J. Fuchs
Nicolò Fusi
Siqi Liu
Kristen Severson
MedIm
31
27
0
01 Aug 2024
A deep cut into Split Federated Self-supervised Learning
Marcin Przewiȩźlikowski
Marcin Osial
Bartosz Zieliñski
Marek 'Smieja
FedML
40
0
0
12 Jun 2024
An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
Scott C. Lowe
Joakim Bruslund Haurum
Sageev Oore
T. Moeslund
Graham W. Taylor
SSL
46
3
0
04 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision
Nikolaos Giakoumoglou
Tania Stathaki
Athanasios Gkelias
SSL
59
1
0
08 May 2024
BenthicNet: A global compilation of seafloor images for deep learning applications
Scott C. Lowe
B. Misiuk
Isaac Xu
Shakhboz Abdulazizov
A. R. Baroi
...
Jordan A. Thomson
Brittany R. Wilson
Melisa C. Wong
Craig J. Brown
Thomas Trappenberg
49
3
0
08 May 2024
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
Carlos Peñarrubia
Carlos Garrido-Munoz
J. J. Valero-Mas
Jorge Calvo-Zaragoza
34
1
0
17 Apr 2024
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning
Hasindri Watawana
Kanchana Ranasinghe
Tariq Mahmood
Muzammal Naseer
Salman Khan
Fahad Shahbaz Khan
SSL
38
3
0
21 Mar 2024
Poly-View Contrastive Learning
Amitis Shidani
Devon Hjelm
Jason Ramapuram
Russ Webb
Eeshan Gunesh Dhekane
Dan Busbridge
VLM
SSL
34
4
0
08 Mar 2024
Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift
Jun Chen
Weng-Keen Wong
B. Hamdaoui
47
3
0
06 Mar 2024
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
Han Guo
Ramtin Hosseini
Ruiyi Zhang
Sai Ashish Somayajula
Ranak Roy Chowdhury
Rajesh K. Gupta
Pengtao Xie
28
0
0
28 Feb 2024
Self-supervised Visualisation of Medical Image Datasets
I. V. Nwabufo
Jan Niklas Böhm
Philipp Berens
D. Kobak
40
0
0
22 Feb 2024
Active Few-Shot Fine-Tuning
Jonas Hübotter
Bhavya Sukhija
Lenart Treven
Yarden As
Andreas Krause
33
1
0
13 Feb 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
28
5
0
09 Feb 2024
A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
Wei-Yao Wang
Wei-Wei Du
Derek Xu
Wei Wang
Wenjie Peng
LMTD
30
7
0
02 Feb 2024
Mathematical Algorithm Design for Deep Learning under Societal and Judicial Constraints: The Algorithmic Transparency Requirement
Holger Boche
Adalbert Fono
Gitta Kutyniok
FaML
23
4
0
18 Jan 2024
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson
B. Matuszewski
21
2
0
11 Jan 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
30
16
0
09 Jan 2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression from Longitudinal OCTs
T. Emre
A. Chakravarty
Antoine Rivail
Dmitrii Lachinov
Oliver Leingang
...
S. Sivaprasad
Daniel Rueckert
A. Lotery
U. Schmidt-Erfurth
Hrvoje Bogunović
MedIm
25
3
0
28 Dec 2023
Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results
Biqian Cheng
Evangelos E. Papalexakis
Jia Chen
18
0
0
01 Dec 2023
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru cTifrea
Gizem Yüce
Amartya Sanyal
Fanny Yang
34
3
0
30 Nov 2023
Splicing Up Your Predictions with RNA Contrastive Learning
Phil Fradkin
Ruian Shi
Bo Wang
Brendan Frey
Leo J. Lee
SSL
24
0
0
12 Oct 2023
Adaptive Multi-head Contrastive Learning
Lei Wang
Piotr Koniusz
Tom Gedeon
Liang Zheng
30
4
0
09 Oct 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection
Kimberly T. Mai
Toby O. Davies
Lewis D. Griffin
SSL
24
0
0
15 Sep 2023
PASTA: Pretrained Action-State Transformer Agents
Raphael Boige
Yannis Flet-Berliac
Arthur Flajolet
Guillaume Richard
Thomas Pierrot
LM&Ro
OffRL
26
5
0
20 Jul 2023
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe
Michael S. Ryoo
SSL
VLM
30
12
0
20 Jul 2023
RedMotion: Motion Prediction via Redundancy Reduction
Royden Wagner
Ömer Sahin Tas
Marvin Klemp
Carlos Fernandez Lopez
Christoph Stiller
46
6
0
19 Jun 2023
Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage
Yu Gui
Cong Ma
Yiqiao Zhong
19
6
0
06 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
16
0
0
02 Jun 2023
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
13
34
0
24 May 2023
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Aran Nayebi
R. Rajalingham
M. Jazayeri
G. R. Yang
36
17
0
19 May 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
Huiwen Chang
Han Zhang
Jarred Barber
AJ Maschinot
José Lezama
...
Kevin Patrick Murphy
William T. Freeman
Michael Rubinstein
Yuanzhen Li
Dilip Krishnan
DiffM
197
519
0
02 Jan 2023
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank
Q. Garrido
Randall Balestriero
Laurent Najman
Yann LeCun
SSL
46
72
0
05 Oct 2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Alexander C. Li
Alexei A. Efros
Deepak Pathak
SSL
45
33
0
29 Sep 2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
Grégoire Mialon
Randall Balestriero
Yann LeCun
24
9
0
29 Sep 2022
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