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 2401–2425 of 6661 papers

Title	Date	Tasks	Status	Score
Lexical Knowledge Internalization for Neural Dialog Generation	May 4, 2022	Contrastive Learning	CodeCode Available	5
Advancing Brainwave-Based Biometrics: A Large-Scale, Multi-Session Evaluation	Jan 14, 2025	Contrastive Learning	CodeCode Available	5
Contrastive Learning of Semantic and Visual Representations for Text Tracking	Dec 30, 2021	Contrastive Learning	CodeCode Available	5
Leveraging Graph Structures to Detect Hallucinations in Large Language Models	Jul 5, 2024	Contrastive LearningDecision Making	CodeCode Available	5
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples	Aug 23, 2024	Contrastive LearningEmotion Recognition	CodeCode Available	5
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning	Sep 20, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression	Dec 16, 2024	ClassificationContrastive Learning	CodeCode Available	5
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease	Jul 11, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
Less is More: Selective Reduction of CT Data for Self-Supervised Pre-Training of Deep Learning Models with Contrastive Learning Improves Downstream Classification Performance	Oct 18, 2024	ClassificationContrastive Learning	CodeCode Available	5
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning	Sep 22, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Length is a Curse and a Blessing for Document-level Semantics	Oct 24, 2023	Contrastive LearningInformation Retrieval	CodeCode Available	5
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis	Jun 27, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	5
Contrastive Learning of General-Purpose Audio Representations	Oct 21, 2020	CoLAContrastive Learning	CodeCode Available	5
Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space	Jan 19, 2025	Contrastive LearningLearning with noisy labels	CodeCode Available	5
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision	Mar 28, 2022	Contrastive LearningGraph Neural Network	CodeCode Available	5
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation	Mar 22, 2024	ClusteringContrastive Learning	CodeCode Available	5
Less Attention is More: Prompt Transformer for Generalized Category Discovery	Jan 1, 2025	Contrastive LearningSelf-Learning	CodeCode Available	5
Learning Tree-Structured Composition of Data Augmentation	Aug 26, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Learning to Plan via Supervised Contrastive Learning and Strategic Interpolation: A Chess Case Study	Jun 5, 2025	Contrastive Learning	CodeCode Available	5
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction	Jun 1, 2023	AnatomyContrastive Learning	CodeCode Available	5
Learning to Locate Visual Answer in Video Corpus Using Question	Oct 11, 2022	Contrastive LearningLanguage Modelling	CodeCode Available	5
Learning Transferable Pedestrian Representation from Multimodal Information Supervision	Apr 12, 2023	AttributeContrastive Learning	CodeCode Available	5
Less is More: Multimodal Region Representation via Pairwise Inter-view Learning	May 15, 2025	Contrastive LearningRepresentation Learning	CodeCode Available	5
Link Prediction with Non-Contrastive Learning	Nov 25, 2022	Contrastive LearningLink Prediction	CodeCode Available	5
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification	Sep 24, 2024	ClassificationContrastive 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