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 2726–2750 of 6661 papers

Title	Date	Tasks	Status	Score
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering	Jul 19, 2024	Collaborative FilteringContrastive Learning	CodeCode Available	5
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction	Nov 18, 2024	Contrastive LearningPrediction	CodeCode Available	5
Knowing Where and What: Unified Word Block Pretraining for Document Understanding	Jul 28, 2022	Contrastive Learningdocument understanding	CodeCode Available	5
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs	Jun 9, 2025	Contrastive LearningOut of Distribution (OOD) Detection	CodeCode Available	5
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection	May 26, 2025	Contrastive LearningHate Speech Detection	CodeCode Available	5
Knowledge-aware Dual-side Attribute-enhanced Recommendation	Mar 24, 2024	AttributeCollaborative Filtering	CodeCode Available	5
Event-enhanced Retrieval in Real-time Search	Apr 9, 2024	Contrastive LearningDecoder	CodeCode Available	5
Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation	Oct 24, 2022	Contrastive LearningQuestion Answering	CodeCode Available	5
GeomCA: Geometric Evaluation of Data Representations	May 26, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	5
Contrasting the landscape of contrastive and non-contrastive learning	Mar 29, 2022	Contrastive Learning	CodeCode Available	5
Amortised Invariance Learning for Contrastive Self-Supervision	Feb 24, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
Keypoint Aware Masked Image Modelling	Jul 18, 2024	Contrastive Learning	CodeCode Available	5
Event-Based Contrastive Learning for Medical Time Series	Dec 16, 2023	Contrastive LearningDecision Making	CodeCode Available	5
Contrasting quadratic assignments for set-based representation learning	May 31, 2022	Contrastive LearningMetric Learning	CodeCode Available	5
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval	Apr 28, 2022	Contrastive LearningRetrieval	CodeCode Available	5
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization	Sep 30, 2021	Argument MiningContrastive Learning	CodeCode Available	5
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning	May 22, 2018	Contrastive LearningRepresentation Learning	CodeCode Available	5
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering	May 31, 2025	ClusteringContrastive Learning	CodeCode Available	5
Bayesian Self-Supervised Contrastive Learning	Jan 27, 2023	Contrastive Learning	CodeCode Available	5
Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability	Jun 16, 2025	ClassificationContrastive Learning	CodeCode Available	5
GL-CLeF: A Global–Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding	May 1, 2022	Contrastive LearningCross-Lingual Transfer	CodeCode Available	5
Bayesian Robust Graph Contrastive Learning	May 27, 2022	Contrastive LearningNode Classification	CodeCode Available	5
Joint Searching and Grounding: Multi-Granularity Video Content Retrieval	Oct 23, 2023	Contrastive LearningRetrieval	CodeCode Available	5
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings	May 5, 2025	Contrastive LearningSentence	CodeCode Available	5
ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading	Jul 19, 2024	Contrastive LearningDiagnostic	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