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A Simple Framework for Contrastive Learning of Visual Representations
v1v2v3 (latest)

A Simple Framework for Contrastive Learning of Visual Representations

International Conference on Machine Learning (ICML), 2020
13 February 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
    SSL
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

Papers citing "A Simple Framework for Contrastive Learning of Visual Representations"

50 / 10,135 papers shown
Title
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
229
0
0
09 Oct 2025
Sparse components distinguish visual pathways & their alignment to neural networks
Sparse components distinguish visual pathways & their alignment to neural networksInternational Conference on Learning Representations (ICLR), 2025
Ammar I Marvi
Nancy G Kanwisher
Meenakshi Khosla
36
0
0
09 Oct 2025
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials
Thomas Lautenschlager
Nils Friederich
Angelo Jovin Yamachui Sitcheu
Katja Nau
Gaëlle Hayot
Thomas Dickmeis
Ralf Mikut
64
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
135
0
0
09 Oct 2025
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
Emilio Estevan
María Sierra-Torralba
Eduardo López-Larraz
Luis Montesano
102
0
0
09 Oct 2025
Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering
Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question AnsweringComputer Vision and Pattern Recognition (CVPR), 2025
Yuanhao Zou
Zhaozheng Yin
MedIm
140
3
0
09 Oct 2025
Leveraging Whisper Embeddings for Audio-based Lyrics Matching
Leveraging Whisper Embeddings for Audio-based Lyrics Matching
Eleonora Mancini
Joan Serrà
Paolo Torroni
Yuki Mitsufuji
40
0
0
09 Oct 2025
Man-Made Heuristics Are Dead. Long Live Code Generators!
Man-Made Heuristics Are Dead. Long Live Code Generators!
Rohit Dwivedula
Divyanshu Saxena
Aditya Akella
Swarat Chaudhuri
Daehyeok Kim
88
1
0
09 Oct 2025
Long-Tailed Recognition via Information-Preservable Two-Stage Learning
Long-Tailed Recognition via Information-Preservable Two-Stage Learning
Fudong Lin
Xu Yuan
101
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0
09 Oct 2025
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions
Jacob Trauger
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Ambuj Tewari
194
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0
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DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
DM1: MeanFlow with Dispersive Regularization for 1-Step Robotic Manipulation
Guowei Zou
Haitao Wang
Hejun Wu
Yukun Qian
Yuhang Wang
Weibing Li
80
1
0
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EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning
EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning
Yixiao Li
Julia Barth
Thomas Kiefer
Ahmad Fraij
96
0
0
08 Oct 2025
GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer ElectronicsIEEE transactions on consumer electronics (IEEE TCE), 2025
Guan-Yan Yang
Farn Wang
Kuo-Hui Yeh
52
2
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Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
Soroosh Tayebi Arasteh
Mina Shaigan
Christiane Kuhl
Jakob Nikolas Kather
S. Nebelung
Daniel Truhn
116
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0
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DADO: A Depth-Attention framework for Object Discovery
DADO: A Depth-Attention framework for Object DiscoveryInternational Conference on Computer Analysis of Images and Patterns (CAIP), 2025
Federico Gonzalez
Estefanía Talavera
Petia Radeva
68
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0
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scPPDM: A Diffusion Model for Single-Cell Drug-Response Prediction
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Zhaokang Liang
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Xiaoran Jiao
Weian Mao
Hao Chen
Chunhua Shen
48
0
0
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Knowledge-Aware Mamba for Joint Change Detection and Classification from MODIS Times Series
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Mabel Heffring
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Saeid Taleghanidoozdoozan
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117
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SSL-SE-EEG: A Framework for Robust Learning from Unlabeled EEG Data with Self-Supervised Learning and Squeeze-Excitation Networks
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Meghna Roy Chowdhury
Yi Ding
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73
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PhishSSL: Self-Supervised Contrastive Learning for Phishing Website Detection
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Yung-wey Chong
Shankar Karuppayah
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Binyong Li
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80
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Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
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Zhiqiang Shen
Wenchao Yu
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zhiqiang xu
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174
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EARL: Efficient Agentic Reinforcement Learning Systems for Large Language Models
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93
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Yejin Choi
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120
5
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Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
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173
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OneVision: An End-to-End Generative Framework for Multi-view E-commerce Vision Search
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Zihan Liang
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180
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A Novel Technique for Robust Training of Deep Networks With Multisource Weak Labeled Remote Sensing Data
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How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
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Renhe Jiang
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Compressed Concatenation of Small Embedding Models
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GRACE: Generative Representation Learning via Contrastive Policy Optimization
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Xianrui Zhong
Pengcheng Jiang
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Jiawei Han
82
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Object-Centric Representation Learning for Enhanced 3D Scene Graph Prediction
Object-Centric Representation Learning for Enhanced 3D Scene Graph Prediction
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SuYeon Kim
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3DPC
96
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Self-Filtered Distillation with LLMs-generated Trust Indicators for Reliable Patent Classification
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Model-Guided Microstimulation Steers Primate Visual Behavior
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