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 2226–2250 of 6661 papers

Title	Date	Tasks	Status	Score
Mask-Guided Contrastive Attention Model for Person Re-Identification	Jun 1, 2018	Contrastive LearningPerson Re-Identification	CodeCode Available	5
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting	Oct 3, 2024	Contrastive LearningDenoising	CodeCode Available	5
Mask-informed Deep Contrastive Incomplete Multi-view Clustering	Feb 4, 2025	ClusteringContrastive Learning	CodeCode Available	5
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages	May 1, 2022	Contrastive LearningEntity Typing	CodeCode Available	5
Cross-lingual Contextualized Phrase Retrieval	Mar 25, 2024	Contrastive LearningLanguage Modelling	CodeCode Available	5
A Self-explaining Neural Architecture for Generalizable Concept Learning	May 1, 2024	Concept AlignmentContrastive Learning	CodeCode Available	5
CGRclust: Chaos Game Representation for Twin Contrastive Clustering of Unlabelled DNA Sequences	Jul 1, 2024	ClusteringContrastive Learning	CodeCode Available	5
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation	Jun 10, 2021	ClusteringContrastive Learning	CodeCode Available	5
A Computational Framework for Slang Generation	Feb 3, 2021	Contrastive Learning	CodeCode Available	5
Masked Collaborative Contrast for Weakly Supervised Semantic Segmentation	May 15, 2023	Contrastive LearningSemantic Segmentation	CodeCode Available	5
CFL-Net: Image Forgery Localization Using Contrastive Learning	Oct 4, 2022	Contrastive LearningImage Manipulation	CodeCode Available	5
CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues	Dec 19, 2023	Contrastive LearningDrug Design	CodeCode Available	5
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning	Apr 20, 2023	Contrastive Learning	CodeCode Available	5
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping	May 31, 2022	Contrastive Learning	CodeCode Available	5
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning	Apr 26, 2023	Contrastive LearningPose Transfer	CodeCode Available	5
MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment	Mar 3, 2025	Contrastive Learning	CodeCode Available	5
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning	Aug 9, 2024	Contrastive LearningDeep Learning	CodeCode Available	5
CroCo: Cross-Modal Contrastive learning for localization of Earth Observation data	Apr 14, 2022	Contrastive LearningEarth Observation	CodeCode Available	5
Criteria Comparative Learning for Real-scene Image Super-Resolution	Jul 26, 2022	Contrastive LearningImage Super-Resolution	CodeCode Available	5
Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning	Aug 11, 2021	Binary ClassificationContrastive Learning	CodeCode Available	5
Manifold Contrastive Learning with Variational Lie Group Operators	Jun 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification	Sep 24, 2024	ClassificationContrastive Learning	CodeCode Available	5
Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images	Sep 2, 2022	ClusteringContrastive Learning	CodeCode Available	5
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation	Nov 22, 2023	Contrastive LearningSequential Recommendation	CodeCode Available	5
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning	Apr 1, 2022	Contrastive 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