Contrastive Learning

Contrastive Learning is a deep learning technique for unsupervised representation learning. The goal is to learn a representation of data such that similar instances are close together in the representation space, while dissimilar instances are far apart.

It has been shown to be effective in various computer vision and natural language processing tasks, including image retrieval, zero-shot learning, and cross-modal retrieval. In these tasks, the learned representations can be used as features for downstream tasks such as classification and clustering.

(Image credit: Schroff et al. 2015)

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2901–2925 of 6661 papers

Title	Date	Tasks	Status	Score
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization	Sep 30, 2021	Argument MiningContrastive Learning	CodeCode Available	5
ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning	Jul 3, 2023	Contrastive LearningData Augmentation	CodeCode Available	5
Self-supervised Multi-modal Training from Uncurated Image and Reports Enables Zero-shot Oversight Artificial Intelligence in Radiology	Aug 10, 2022	Contrastive LearningDecision Making	CodeCode Available	5
End-to-End Supervised Multilabel Contrastive Learning	Jul 8, 2023	Contrastive Learningimage-classification	CodeCode Available	5
Constructing Contrastive samples via Summarization for Text Classification with limited annotations	Apr 11, 2021	Contrastive LearningData Augmentation	CodeCode Available	5
Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning	Apr 27, 2025	Contrastive LearningGraph Neural Network	CodeCode Available	5
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation	Mar 5, 2025	Contrastive LearningDomain Adaptation	CodeCode Available	5
Interactive Dimensionality Reduction for Comparative Analysis	Jun 29, 2021	Contrastive LearningDimensionality Reduction	CodeCode Available	5
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation	Nov 20, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
Heterogeneous Tri-stream Clustering Network	Jan 11, 2023	ClusteringContrastive Learning	CodeCode Available	5
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection	May 29, 2024	Contrastive Learning	CodeCode Available	5
A Vlogger-augmented Graph Neural Network Model for Micro-video Recommendation	May 28, 2024	Contrastive LearningGraph Neural Network	CodeCode Available	5
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding	May 12, 2023	Contrastive LearningSemantic Similarity	CodeCode Available	5
A Token-level Contrastive Framework for Sign Language Translation	Apr 11, 2022	Contrastive LearningMachine Translation	CodeCode Available	5
EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning	May 31, 2022	Contrastive LearningGenre classification	CodeCode Available	5
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images	Mar 2, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
In-sample Contrastive Learning and Consistent Attention for Weakly Supervised Object Localization	Sep 25, 2020	Contrastive LearningObject	CodeCode Available	5
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation	Nov 24, 2024	3D Semantic SegmentationActive Learning	CodeCode Available	5
A Vision-Language Foundation Model for Leaf Disease Identification	May 11, 2025	Contrastive Learningimage-classification	CodeCode Available	5
Contrastive Learning of Sociopragmatic Meaning in Social Media	Mar 15, 2022	Contrastive Learning	CodeCode Available	5
Consistency of augmentation graph and network approximability in contrastive learning	Feb 6, 2025	Contrastive LearningData Augmentation	CodeCode Available	5
Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion Models	Aug 5, 2024	Contrastive Learning	CodeCode Available	5
GaussianStyle: Gaussian Head Avatar via StyleGAN	Feb 1, 2024	3DGSAttribute	CodeCode Available	5
EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence	Apr 16, 2024	Contrastive Learning	CodeCode Available	5
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations	Jul 6, 2024	Contrastive LearningGraph Learning	CodeCode Available	5

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All datasets imagenet-1k 10,000 People - Human Pose Recognition Data CIFAR-10 STL-10

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ResNet50	ImageNet Top-1 Accuracy	73.6	—	Unverified
2	ResNet50	ImageNet Top-1 Accuracy	73	—	Unverified
3	ResNet50	ImageNet Top-1 Accuracy	71.1	—	Unverified
4	ResNet50	ImageNet Top-1 Accuracy	69.3	—	Unverified
5	ResNet50 (v2)	ImageNet Top-1 Accuracy	67.6	—	Unverified
6	ResNet50 (v2)	ImageNet Top-1 Accuracy	63.8	—	Unverified
7	ResNet50	ImageNet Top-1 Accuracy	63.6	—	Unverified
8	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
9	ResNet50	ImageNet Top-1 Accuracy	61.5	—	Unverified
10	ResNet50 (4×)	ImageNet Top-1 Accuracy	61.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1	0..5sec	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	84.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	IPCL (ResNet18)	Accuracy (Top-1)	85.55	—	Unverified