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2012.09962
Cited By

Addressing Feature Suppression in Unsupervised Visual Representations

v1v2v3v4v5 (latest)

Addressing Feature Suppression in Unsupervised Visual Representations

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020

17 December 2020

ArXiv (abs)PDF HTML

Papers citing "Addressing Feature Suppression in Unsupervised Visual Representations"

11 / 11 papers shown

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-trainingComputer Vision and Pattern Recognition (CVPR), 2024

Mariana-Iuliana Georgescu

833

16

0

02 Dec 2024

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
Defense

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised DefenseEuropean Conference on Computer Vision (ECCV), 2024

Jeremy A. Styborski

Adams Kong

410

1

0

13 Sep 2024

The Clever Hans Effect in Unsupervised Learning

The Clever Hans Effect in Unsupervised Learning

Jacob R. Kauffmann

Klaus-Robert Müller

302

30

0

15 Aug 2024

Demonstrating and Reducing Shortcuts in Vision-Language Representation
Learning

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning

Maurits J. R. Bleeker

Mariya Hendriksen

Maarten de Rijke

373

12

0

27 Feb 2024

Self-Supervised Representation Learning with Cross-Context Learning
between Global and Hypercolumn Features

Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn FeaturesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023

307

6

0

25 Aug 2023

DUET: 2D Structured and Approximately Equivariant Representations

DUET: 2D Structured and Approximately Equivariant RepresentationsInternational Conference on Machine Learning (ICML), 2023

Federico Danieli

Thomas Anderson Keller

Jason Ramapuram

Luca Zappella

263

3

0

28 Jun 2023

Which Features are Learnt by Contrastive Learning? On the Role of
Simplicity Bias in Class Collapse and Feature Suppression

Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature SuppressionInternational Conference on Machine Learning (ICML), 2023

Baharan Mirzasoleiman

414

36

0

25 May 2023

MAST: Masked Augmentation Subspace Training for Generalizable
Self-Supervised Priors

MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised PriorsInternational Conference on Learning Representations (ICLR), 2023

462

6

0

07 Mar 2023

Feature Dropout: Revisiting the Role of Augmentations in Contrastive
Learning

Feature Dropout: Revisiting the Role of Augmentations in Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022

Margalit Glasgow

Noah D. Goodman

334

11

0

16 Dec 2022

Contactless Oxygen Monitoring with Gated Transformer

Contactless Oxygen Monitoring with Gated Transformer

300

4

0

06 Dec 2022

Unsupervised Learning of Visual Features by Contrasting Cluster
Assignments

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Piotr Bojanowski

1.5K

4,857

0

17 Jun 2020

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