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 2421–2430 of 6661 papers

Title	Date	Tasks	Status
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning	Sep 12, 2024	Community DetectionContrastive Learning	—Unverified
C-SENN: Contrastive Self-Explaining Neural Network	Jun 20, 2022	Autonomous DrivingContrastive Learning	—Unverified
CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis	May 29, 2025	Contrastive LearningDiversity	—Unverified
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction	Jul 11, 2023	Autonomous DrivingContrastive Learning	—Unverified
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings	Nov 16, 2021	Contrastive LearningSemantic Textual Similarity	—Unverified
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation	Apr 15, 2022	Contrastive LearningData Augmentation	—Unverified
A Framework for Generative and Contrastive Learning of Audio Representations	Oct 22, 2020	Contrastive Learning	—Unverified
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis	Jan 11, 2023	Contrastive LearningLesion Segmentation	—Unverified
Cross-view Self-Supervised Learning on Heterogeneous Graph Neural Network via Bootstrapping	Jan 10, 2022	Contrastive LearningGraph Neural Network	—Unverified
Cross-View-Prediction: Exploring Contrastive Feature for Hyperspectral Image Classification	Mar 14, 2022	Contrastive LearningHyperspectral Image Classification	—Unverified

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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