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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 / 10,240 papers shown
Feature Identification for Hierarchical Contrastive Learning
Feature Identification for Hierarchical Contrastive Learning
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Nastassia Vysotskaya
Huawei Sun
Lorenzo Servadei
Robert Wille
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01 Oct 2025
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
Jose I. Mestre
Alberto Fernández-Hernández
Cristian Pérez-Corral
Manuel F. Dolz
Jose Duato
Enrique S. Quintana-Ortí
181
0
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01 Oct 2025
Uncovering the Computational Ingredients of Human-Like Representations in LLMs
Uncovering the Computational Ingredients of Human-Like Representations in LLMs
Zach Studdiford
Timothy T. Rogers
Kushin Mukherjee
Siddharth Suresh
162
0
0
01 Oct 2025
AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma Classification
AI-CNet3D: An Anatomically-Informed Cross-Attention Network with Multi-Task Consistency Fine-tuning for 3D Glaucoma ClassificationMachine Learning for Biomedical Imaging (MLBI), 2025
Roshan Kenia
Anfei Li
Rishabh Srivastava
Kaveri A. Thakoor
3DPC
115
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0
01 Oct 2025
It Takes Two: Your GRPO Is Secretly DPO
It Takes Two: Your GRPO Is Secretly DPO
Yihong Wu
Liheng Ma
Lei Ding
Muzhi Li
X. Wang
...
Zhanguang Zhang
Chenyang Huang
Yingxue Zhang
Mark Coates
J. Nie
82
2
0
01 Oct 2025
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman Spectroscopy
Reevaluating Convolutional Neural Networks for Spectral Analysis: A Focus on Raman SpectroscopyACS Earth and Space Chemistry (ACS Earth Space Chem), 2025
Deniz Soysal
Xabier García-Andrade
Laura E. Rodriguez
Pablo Sobron
Laura M. Barge
Renaud Detry
AAML
94
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30 Sep 2025
Generalized Fine-Grained Category Discovery with Multi-Granularity Conceptual Experts
Generalized Fine-Grained Category Discovery with Multi-Granularity Conceptual Experts
Haiyang Zheng
Nan Pu
Wenjing Li
Andrii Zadaianchuk
Zhun Zhong
104
1
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Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
Automated Alignment of Math Items to Content Standards in Large-Scale Assessments Using Language Models
Qingshu Xu
Hong Jiao
Tianyi Zhou
Ming Li
Nan Zhang
Sydney Peters
Yanbin Fu
156
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30 Sep 2025
Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling
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X. Chen
Yunmeng Shu
Yuangang Pan
Jinsong Lan
Xiaoyong Zhu
Shuai Xiao
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Ivor Tsang
Bo Zheng
AI4TS
73
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30 Sep 2025
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Act to See, See to Act: Diffusion-Driven Perception-Action Interplay for Adaptive Policies
Jing Wang
Weiting Peng
Jing Tang
Zeyu Gong
Xihua Wang
B. Tao
Li Cheng
278
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0
30 Sep 2025
The Loss Kernel: A Geometric Probe for Deep Learning Interpretability
The Loss Kernel: A Geometric Probe for Deep Learning Interpretability
Maxwell Adam
Zach Furman
Jesse Hoogland
137
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Noise-Guided Transport for Imitation Learning
Noise-Guided Transport for Imitation Learning
Lionel Blondé
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204
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ProbMed: A Probabilistic Framework for Medical Multimodal Binding
ProbMed: A Probabilistic Framework for Medical Multimodal Binding
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Chris McIntosh
145
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Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation
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Zhihua Liu
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278
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Contrastive Learning for Correlating Network Incidents
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100
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Di Chen
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146
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PEARL: Performance-Enhanced Aggregated Representation Learning
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116
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ELASTIQ: EEG-Language Alignment with Semantic Task Instruction and Querying
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...
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95
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Interpretable Kernel Representation Learning at Scale: A Unified Framework Utilizing Nyström Approximation
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Event-based Facial Keypoint Alignment via Cross-Modal Fusion Attention and Self-Supervised Multi-Event Representation Learning
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Joint Embeddings Go Temporal
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Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
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Environment-Aware Satellite Image Generation with Diffusion Models
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Towards Foundation Models for Cryo-ET Subtomogram Analysis
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Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG
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GenView++: Unifying Adaptive Generative Augmentation and Quality-Driven Supervision for Contrastive Representation Learning
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152
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Disentanglement of Variations with Multimodal Generative Modeling
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Generalized Category Discovery in Hyperspectral Images via Prototype Subspace Modeling
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Bridging the Task Gap: Multi-Task Adversarial Transferability in CLIP and Its Derivatives
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InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions
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