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 2276–2300 of 6661 papers

Title	Date	Tasks	Status	Score
COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading	Jan 11, 2022	Contrastive Learning	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
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?	Aug 28, 2023	Contrastive LearningIntrusion Detection	CodeCode Available	5
Coreference Graph Guidance for Mind-Map Generation	Dec 19, 2023	Contrastive Learning	CodeCode Available	5
Adversarial Momentum-Contrastive Pre-Training	Dec 24, 2020	Contrastive LearningData Augmentation	CodeCode Available	5
Mask-Guided Contrastive Attention Model for Person Re-Identification	Jun 1, 2018	Contrastive LearningPerson Re-Identification	CodeCode Available	5
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation	Apr 7, 2025	Contrastive LearningDiagnostic	CodeCode Available	5
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation	Nov 25, 2022	Contrastive LearningDepth Estimation	CodeCode Available	5
Manifold Contrastive Learning with Variational Lie Group Operators	Jun 23, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation	Jan 1, 2021	Contrastive LearningCross-Modal Retrieval	CodeCode Available	5
ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification	Sep 24, 2024	ClassificationContrastive Learning	CodeCode Available	5
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning	Nov 5, 2023	Contrastive LearningGraph Classification	CodeCode Available	5
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing	Apr 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	5
CATALOG: A Camera Trap Language-guided Contrastive Learning Model	Dec 14, 2024	Contrastive Learningimage-classification	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
A Question-centric Multi-experts Contrastive Learning Framework for Improving the Accuracy and Interpretability of Deep Sequential Knowledge Tracing Models	Mar 12, 2024	Contrastive LearningDeep Learning	CodeCode Available	5
Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic Data	May 25, 2025	Contrastive LearningRetrieval	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
CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation	Feb 11, 2025	AI AgentCell Segmentation	CodeCode Available	5
Controlled Text Generation with Hidden Representation Transformations	May 30, 2023	AttributeContrastive Learning	CodeCode Available	5
MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers	Jun 7, 2024	audio-visual learningContrastive Learning	CodeCode Available	5
M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction	May 31, 2025	Contrastive LearningEEG	CodeCode Available	5
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors	Feb 24, 2024	Contrastive LearningPrompt Learning	CodeCode Available	5
Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification	Jul 11, 2023	Contrastive LearningMulti Label Text Classification	CodeCode Available	5
Multi-task Pre-training Language Model for Semantic Network Completion	Jan 13, 2022	Contrastive LearningData Augmentation	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