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 2351–2375 of 6661 papers

Title	Date	Tasks	Status	Score
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction	May 31, 2025	Contrastive LearningEEG	CodeCode Available	5
A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning	Sep 2, 2022	Contrastive LearningGraph Neural Network	CodeCode Available	5
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval	Mar 21, 2024	Contrastive LearningFact Verification	CodeCode Available	5
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU	Mar 19, 2025	Contrastive LearningMachine Unlearning	CodeCode Available	5
Manifold Contrastive Learning with Variational Lie Group Operators	Jun 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
Masked Student Dataset of Expressions	Apr 7, 2023	Contrastive LearningFacial Expression Recognition	CodeCode Available	5
Low-confidence Samples Matter for Domain Adaptation	Feb 6, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	5
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning	Aug 13, 2024	Contrastive LearningMULTI-VIEW LEARNING	CodeCode Available	5
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction	Dec 22, 2021	Contrastive LearningKeypoint Detection	CodeCode Available	5
Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political Parties	Jul 9, 2020	Contrastive LearningDimensionality Reduction	CodeCode Available	5
LostPaw: Finding Lost Pets using a Contrastive Learning-based Transformer with Visual Input	Apr 28, 2023	Contrastive Learning	CodeCode Available	5
Multi-task Pre-training Language Model for Semantic Network Completion	Jan 13, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation	Dec 3, 2024	Contrastive LearningImage Segmentation	CodeCode Available	5
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval	May 26, 2025	Contrastive LearningEntity Retrieval	CodeCode Available	5
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection	Oct 27, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	5
COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection	Aug 3, 2023	Contrastive LearningObject	CodeCode Available	5
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task	Jun 9, 2024	Contrastive LearningFew-Shot Learning	CodeCode Available	5
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning	Nov 2, 2023	Contrastive LearningMulti-Task Learning	CodeCode Available	5
Local Aggregation for Unsupervised Learning of Visual Embeddings	Mar 29, 2019	ClusteringContrastive Learning	CodeCode Available	5
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning	Jul 8, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation	Jun 12, 2025	Contrastive LearningDenoising	CodeCode Available	5
Link Prediction with Non-Contrastive Learning	Nov 25, 2022	Contrastive LearningLink Prediction	CodeCode Available	5
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping	Apr 2, 2021	Contrastive LearningDecoder	CodeCode Available	5
Contrastive Learning with Temporal Correlated Medical Images: A Case Study using Lung Segmentation in Chest X-Rays	Sep 7, 2021	Contrastive LearningImage Segmentation	CodeCode Available	5
Line Graph Contrastive Learning for Link Prediction	Oct 25, 2022	Contrastive LearningLink Prediction	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