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2005.10243
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What Makes for Good Views for Contrastive Learning?

v1v2v3 (latest)

What Makes for Good Views for Contrastive Learning?

20 May 2020

Cordelia Schmid

ArXiv (abs)PDF HTML Github (1983★)

Papers citing "What Makes for Good Views for Contrastive Learning?"

50 / 851 papers shown

Self-Supervised Dynamical System Representations for Physiological Time-Series

Self-Supervised Dynamical System Representations for Physiological Time-Series

Christopher Rozell

112

1

0

28 Nov 2025

Structured Contrastive Learning for Interpretable Latent Representations

Structured Contrastive Learning for Interpretable Latent Representations

258

0

0

18 Nov 2025

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Randall Balestriero

664

41

0

11 Nov 2025

An Augmentation Overlap Theory of Contrastive Learning

An Augmentation Overlap Theory of Contrastive Learning

265

4

0

05 Nov 2025

Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning

Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning

178

4

0

03 Nov 2025

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

Mikhail Kolosov

Daniil Zelezetsky

Aleksandr I. Panov

453

12

0

29 Oct 2025

Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections

Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections

372

0

0

26 Oct 2025

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy

From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy

163

0

0

26 Oct 2025

Multimodal Datasets with Controllable Mutual Information

Multimodal Datasets with Controllable Mutual Information

Raheem Karim Hashmani

210

1

0

24 Oct 2025

CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution

CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution

Christian Schiffer

Zeynep Boztoprak

Jan-Oliver Kropp

Julia Thönnißen

Timo Dickscheid

135

1

0

21 Oct 2025

Exploring Structural Degradation in Dense Representations for Self-supervised Learning

Exploring Structural Degradation in Dense Representations for Self-supervised Learning

207

2

0

20 Oct 2025

Complementary and Contrastive Learning for Audio-Visual Segmentation

Complementary and Contrastive Learning for Audio-Visual SegmentationIEEE transactions on multimedia (TMM), 2025

336

7

0

11 Oct 2025

On the Alignment Between Supervised and Self-Supervised Contrastive Learning

On the Alignment Between Supervised and Self-Supervised Contrastive Learning

Achleshwar Luthra

Priyadarsi Mishra

216

1

0

09 Oct 2025

Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study

Enhancing Self-Supervised Learning with Semantic Pairs A New Dataset and Empirical Study

Mohammad Alkhalefi

Georgios Leontidis

357

0

0

09 Oct 2025

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions

Adithya Balachandran

241

1

0

06 Oct 2025

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning

Task-Level Contrastiveness for Cross-Domain Few-Shot Learning

Kristi Topollai

A. Choromańska

189

0

0

03 Oct 2025

FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data

FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data

Ali Khodabandeh Yalabadi

Mehdi Yazdani-Jahromi

300

0

0

02 Oct 2025

GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning

GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning

Min Zhang

247

0

0

28 Sep 2025

Disentanglement of Variations with Multimodal Generative Modeling

Disentanglement of Variations with Multimodal Generative Modeling

177

0

0

28 Sep 2025

Graph Your Own Prompt

Graph Your Own Prompt

264

2

0

27 Sep 2025

Enriching Knowledge Distillation with Intra-Class Contrastive Learning

Enriching Knowledge Distillation with Intra-Class Contrastive Learning

186

0

0

26 Sep 2025

Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration

Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration

255

3

0

25 Sep 2025

Manifold-Aware Diffusion-Augmented Contrastive Learning for Noise-Robust Biosignal Representation

Manifold-Aware Diffusion-Augmented Contrastive Learning for Noise-Robust Biosignal Representation

279

0

0

24 Sep 2025

Can multimodal representation learning by alignment preserve modality-specific information?

Can multimodal representation learning by alignment preserve modality-specific information?

Jessie Levillain

141

0

0

22 Sep 2025

CoUn: Empowering Machine Unlearning via Contrastive Learning

CoUn: Empowering Machine Unlearning via Contrastive Learning

Yasser H. Khalil

332

0

0

19 Sep 2025

ToFU: Transforming How Federated Learning Systems Forget User Data

ToFU: Transforming How Federated Learning Systems Forget User Data

Hong-Hanh Nguyen-Le

170

1

0

19 Sep 2025

Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning

Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning

237

0

0

14 Sep 2025

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data

Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data

Yash Kumar Sharma

221

1

0

10 Sep 2025

Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography

Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography

Nooshin Maghsoodi

Stephanie Sibley

Purang Abolmaesumi

133

1

0

09 Sep 2025

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs

Juncheng Billy Li

206

0

0

06 Sep 2025

Unsupervised Training of Vision Transformers with Synthetic Negatives

Unsupervised Training of Vision Transformers with Synthetic Negatives

Nikolaos Giakoumoglou

Kleanthis Marios Papadopoulos

263

0

0

02 Sep 2025

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review

Yongqiang Huang

Andrew Beng Jin Teoh

187

4

0

28 Aug 2025

Adaptive Anomaly Detection in Evolving Network Environments

Adaptive Anomaly Detection in Evolving Network Environments

Ehssan Mousavipour

Andrey Dimanchev

165

0

0

20 Aug 2025

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment

174

3

0

19 Aug 2025

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation

Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation

199

2

0

19 Aug 2025

S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing

S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing

347

4

0

17 Aug 2025

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking

268

8

0

26 Jul 2025

LEAD: Exploring Logit Space Evolution for Model Selection

LEAD: Exploring Logit Space Evolution for Model SelectionComputer Vision and Pattern Recognition (CVPR), 2024

247

8

0

19 Jul 2025

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

254

0

0

11 Jul 2025

A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation

A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation

257

5

0

20 Jun 2025

Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology

Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital PathologyIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025

Nirhoshan Sivaroopan

Chamuditha Jayanga Galappaththige

Chalani Ekanayake

Hasindri Watawana

Chamira U. S. Edussooriya

248

0

0

13 Jun 2025

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks

Athinoulla Konstantinou

Georgios Leontidis

301

0

0

11 Jun 2025

On the Similarities of Embeddings in Contrastive Learning

On the Similarities of Embeddings in Contrastive Learning

386

2

0

11 Jun 2025

Aligning Multimodal Representations through an Information Bottleneck

Aligning Multimodal Representations through an Information Bottleneck

Antonio Almudévar

José Miguel Hernández-Lobato

383

8

0

05 Jun 2025

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image Classification

ECP-Mamba: An Efficient Multi-scale Self-supervised Contrastive Learning Method with State Space Model for PolSAR Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025

325

3

0

01 Jun 2025

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

FreRA: A Frequency-Refined Augmentation for Contrastive Learning on Time Series Classification

254

4

0

29 May 2025

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning

Sebastian Böck

Günter Klambauer

Sepp Hochreiter

298

54

0

29 May 2025

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning

243

2

0

28 May 2025

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics

AdaDim: Dimensionality Adaptation for SSL Representational Dynamics

Kiran Kokilepersaud

Mohit Prabhushankar

Ghassan AlRegib

448

2

0

18 May 2025

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining

Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining

Raghuveer Thirukovalluru

471

25

0

16 May 2025

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