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

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Showing 2601–2625 of 6661 papers

Title	Date	Tasks	Status	Score
Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder	Jun 11, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	5
Leveraging Graph Structures to Detect Hallucinations in Large Language Models	Jul 5, 2024	Contrastive LearningDecision Making	CodeCode Available	5
Mask-Guided Contrastive Attention Model for Person Re-Identification	Jun 1, 2018	Contrastive LearningPerson Re-Identification	CodeCode Available	5
Fairness-aware Multi-view Clustering	Feb 11, 2023	ClusteringContrastive Learning	CodeCode Available	5
Latent Processes Identification From Multi-View Time Series	May 14, 2023	Contrastive LearningTime Series	CodeCode Available	5
ContrastiveGaussian: High-Fidelity 3D Generation with Contrastive Learning and Gaussian Splatting	Apr 10, 2025	3D GenerationContrastive Learning	CodeCode Available	5
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning	Oct 23, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation	Jun 20, 2024	Collaborative FilteringContrastive Learning	CodeCode Available	5
Mitigating Urban-Rural Disparities in Contrastive Representation Learning with Satellite Imagery	Nov 16, 2022	AttributeContrastive Learning	CodeCode Available	5
Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values	Jun 9, 2023	Contrastive Learningimage-classification	CodeCode Available	5
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning	Nov 15, 2021	ClusteringContrastive Learning	CodeCode Available	5
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages	Mar 25, 2025	Contrastive LearningDiversity	CodeCode Available	5
FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis	Mar 2, 2024	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	5
FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning	May 20, 2025	Contrastive LearningText Detection	CodeCode Available	5
An accurate detection is not all you need to combat label noise in web-noisy datasets	Jul 8, 2024	AllContrastive Learning	CodeCode Available	5
Languages Transferred Within the Encoder: On Representation Transfer in Zero-Shot Multilingual Translation	Jun 12, 2024	Contrastive LearningDecoder	CodeCode Available	5
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation	May 7, 2023	Contrastive LearningSequential Recommendation	CodeCode Available	5
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery	May 31, 2022	Contrastive LearningImage Generation	CodeCode Available	5
Fact-Preserved Personalized News Headline Generation	Jan 21, 2025	Contrastive LearningHeadline Generation	CodeCode Available	5
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification	Jan 27, 2022	3D Point Cloud ClassificationContrastive Learning	CodeCode Available	5
Language Agnostic Multilingual Information Retrieval with Contrastive Learning	Oct 12, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	5
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance	Mar 29, 2025	Contrastive LearningInformation Retrieval	CodeCode Available	5
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels	Sep 3, 2022	Contrastive Learningimage-classification	CodeCode Available	5
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following	Oct 18, 2023	Contrastive LearningInstruction Following	CodeCode Available	5
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild	Aug 25, 2024	Contrastive LearningFine-Grained Image Classification	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