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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
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
    SSL
ArXiv (abs)PDFHTMLGithub (1983★)

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

50 / 845 papers shown
Title
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
Randall Balestriero
Yann LeCun
38
0
0
11 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
Ru Wang
Wei Huang
Qi Cao
Yusuke Iwasawa
Yutaka Matsuo
Jiaxian Guo
58
0
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
Nikita Kachaev
Mikhail Kolosov
Daniil Zelezetsky
A. Kovalev
Aleksandr I. Panov
VLM
148
1
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
B. U. Demirel
Christian Holz
AI4TSSSL
102
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
Feng He
Guodong Tan
Qiankun Li
Jun Yu
Quan Wen
20
0
0
26 Oct 2025
Multimodal Datasets with Controllable Mutual Information
Multimodal Datasets with Controllable Mutual Information
Raheem Karim Hashmani
G. W. Merz
Helen Qu
Mariel Pettee
K. Cranmer
48
0
0
24 Oct 2025
CytoNet: A Foundation Model for the Human Cerebral Cortex
CytoNet: A Foundation Model for the Human Cerebral Cortex
Christian Schiffer
Zeynep Boztoprak
Jan-Oliver Kropp
Julia Thönnißen
Katia Berr
H. Spitzer
Katrin Amunts
Timo Dickscheid
32
0
0
21 Oct 2025
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Exploring Structural Degradation in Dense Representations for Self-supervised Learning
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
56
1
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
Sitong Gong
Yunzhi Zhuge
Lu Zhang
Pingping Zhang
Huchuan Lu
VOS
114
2
0
11 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
Mingjun Zhong
SSL
129
0
0
09 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
Tomer Galanti
SSL
79
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
Wenyuan Zhao
Adithya Balachandran
Chao Tian
Paul Pu Liang
86
0
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
60
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
Aida Tayebi
Ali Khodabandeh Yalabadi
Mehdi Yazdani-Jahromi
O. Garibay
FaML
112
0
0
02 Oct 2025
Disentanglement of Variations with Multimodal Generative Modeling
Disentanglement of Variations with Multimodal Generative Modeling
Yijie Zhang
Yiyang Shen
Weiran Wang
52
0
0
28 Sep 2025
GenView++: Unifying Adaptive View Generation and Quality-Driven Supervision for Contrastive Representation Learning
GenView++: Unifying Adaptive View Generation and Quality-Driven Supervision for Contrastive Representation Learning
Xiaojie Li
Bei Wang
Jianlong Wu
Yue Yu
Liqiang Nie
Min Zhang
AI4TS
44
0
0
28 Sep 2025
Graph Your Own Prompt
Graph Your Own Prompt
Xi Ding
Lei Wang
Piotr Koniusz
Yongsheng Gao
93
0
0
27 Sep 2025
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
Enriching Knowledge Distillation with Intra-Class Contrastive Learning
Hua Yuan
Ning Xu
Xin Geng
Yong Rui
52
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
Yiyuan Pan
Zhe Liu
Hesheng Wang
LRM
50
0
0
25 Sep 2025
Diffusion-Augmented Contrastive Learning: A Noise-Robust Encoder for Biosignal Representations
Diffusion-Augmented Contrastive Learning: A Noise-Robust Encoder for Biosignal Representations
Rami Zewail
DiffMMedIm
132
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?
Romain Thoreau
Jessie Levillain
Dawa Derksen
36
0
0
22 Sep 2025
ToFU: Transforming How Federated Learning Systems Forget User Data
ToFU: Transforming How Federated Learning Systems Forget User Data
Van-Tuan Tran
Hong-Hanh Nguyen-Le
Quoc-Viet Pham
FedMLMU
60
1
0
19 Sep 2025
CoUn: Empowering Machine Unlearning via Contrastive Learning
CoUn: Empowering Machine Unlearning via Contrastive Learning
Yasser H. Khalil
Mehdi Setayesh
Hongliang Li
MUCLL
153
0
0
19 Sep 2025
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Beyond Instance Consistency: Investigating View Diversity in Self-supervised Learning
Huaiyuan Qin
M. Yang
Siyuan Hu
Peng Hu
Yu Zhang
Chen Gong
Hongyuan Zhu
77
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
Vineet Nair
Wilson Naik
SSL
72
0
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
Sarah Nassar
P. Wilson
Minh-Son To
Sophia Mannina
Shamel Addas
Stephanie Sibley
David Maslove
Purang Abolmaesumi
P. Mousavi
20
0
0
09 Sep 2025
Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs
Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs
Zhaoyu Fan
Kaihang Pan
Mingze Zhou
Bosheng Qin
Juncheng Billy Li
Shengyu Zhang
Wenqiao Zhang
Siliang Tang
Fei Wu
Yueting Zhuang
KELM
80
0
0
06 Sep 2025
Unsupervised Training of Vision Transformers with Synthetic Negatives
Unsupervised Training of Vision Transformers with Synthetic Negatives
Nikolaos Giakoumoglou
Andreas Floros
Kleanthis Marios Papadopoulos
Tania Stathaki
ViT
40
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
Mengyu Sun
Ziyuan Yang
Yongqiang Huang
Hui Yu
Yingyu Chen
Shuren Qi
Andrew Beng Jin Teoh
Yi Zhang
FedML
41
0
0
28 Aug 2025
Adaptive Anomaly Detection in Evolving Network Environments
Adaptive Anomaly Detection in Evolving Network Environments
Ehssan Mousavipour
Andrey Dimanchev
Majid Ghaderi
40
0
0
20 Aug 2025
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Refining Contrastive Learning and Homography Relations for Multi-Modal Recommendation
Shouxing Ma
Yawen Zeng
Shiqing Wu
Guandong Xu
28
0
0
19 Aug 2025
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
Tuo Chen
Jie Gui
Minjing Dong
Ju Jia
Lanting Fang
Jian Liu
AAML
48
0
0
19 Aug 2025
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing
Liang Lv
Di Wang
Jing Zhang
L. Zhang
AI4TS
66
0
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
X. Feng
Shuyan Hu
X. Li
D. Zhang
M. Wu
Jie Zhang
Xiaosha Chen
K. Huang
82
1
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
Zixuan Hu
Xiaotong Li
Shixiang Tang
Jun Liu
Yichun Hu
Ling-yu Duan
119
7
0
19 Jul 2025
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
Jihye Lee
Minseo Kang
Dongha Kim
OODVLM
84
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
Penglong Zhai
Yifang Yuan
Fanyi Di
Jie Li
Y. Liu
Chen Li
Jie Huang
S. Wang
Yao Xu
X. Li
135
1
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
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
126
0
0
13 Jun 2025
EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
Athinoulla Konstantinou
Georgios Leontidis
Mamatha Thota
A. Durrant
3DPC
197
0
0
11 Jun 2025
On the Similarities of Embeddings in Contrastive Learning
On the Similarities of Embeddings in Contrastive Learning
Chungpa Lee
Sehee Lim
Kibok Lee
Jy-yong Sohn
SSL
216
1
0
11 Jun 2025
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar
José Miguel Hernández-Lobato
Sameer Khurana
R. Marxer
Alfonso Ortega
SSL
227
3
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
Zuzheng Kuang
Haixia Bi
Chen Xu
Jian Sun
Mamba
169
1
0
01 Jun 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
Andreas Auer
Patrick Podest
Daniel Klotz
Sebastian Böck
Günter Klambauer
Sepp Hochreiter
AI4TS
115
19
0
29 May 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
Tian Tian
Chunyan Miao
Hangwei Qian
AI4TS
100
2
0
29 May 2025
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
Jingyi Cui
Hongwei Wen
Yisen Wang
SSL
92
0
0
28 May 2025
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
250
1
0
18 May 2025
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning
DDAE++: Enhancing Diffusion Models Towards Unified Generative and Discriminative Learning
Weilai Xiang
Hongyu Yang
Di Huang
Yunhong Wang
267
1
0
16 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
Rui Meng
Wenshu Fan
Karthikeyan K
Mingyi Su
Ping Nie
Semih Yavuz
Yingbo Zhou
Lei Ma
Bhuwan Dhingra
229
8
0
16 May 2025
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Benchmarking Transferability: A Framework for Fair and Robust Evaluation
Alireza Kazemi
Helia Rezvani
Mahsa Baktashmotlagh
186
1
0
28 Apr 2025
Representation Learning via Non-Contrastive Mutual Information
Representation Learning via Non-Contrastive Mutual Information
Z. Guo
Bernardo Avila-Pires
Khimya Khetarpal
Dale Schuurmans
Bo Dai
SSL
255
2
0
23 Apr 2025
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