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 301–325 of 6661 papers

Title	Date	Tasks	Status	Hype
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions	Feb 12, 2025	Contrastive LearningImage Retrieval	CodeCode Available	1
Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features	Aug 22, 2023	Contrastive LearningImage Retrieval	CodeCode Available	1
Compositional Exemplars for In-context Learning	Feb 11, 2023	Code GenerationContrastive Learning	CodeCode Available	1
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks	Jan 31, 2023	Contrastive LearningGraph Learning	CodeCode Available	1
Community-Invariant Graph Contrastive Learning	May 2, 2024	Contrastive Learning	CodeCode Available	1
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	Mar 22, 2021	ClusteringContrastive Learning	CodeCode Available	1
Compressive Visual Representations	Sep 27, 2021	Contrastive LearningImage Classification	CodeCode Available	1
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization	Sep 29, 2022	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis	Apr 16, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets	Feb 13, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1
Artistic Style Transfer with Internal-external Learning and Contrastive Learning	Dec 1, 2021	Contrastive LearningStyle Transfer	CodeCode Available	1
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning	Mar 2, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition	Jul 20, 2022	3D Action RecognitionAction Recognition	CodeCode Available	1
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization	Nov 23, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1
CODER: Knowledge infused cross-lingual medical term embedding for term normalization	Nov 5, 2020	Contrastive LearningKnowledge Graphs	CodeCode Available	1
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Jan 31, 2023	Adversarial RobustnessAutonomous Driving	CodeCode Available	1
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis	Apr 25, 2023	Contrastive LearningVocal Bursts Type Prediction	CodeCode Available	1
3D Interaction Geometric Pre-training for Molecular Relational Learning	Dec 4, 2024	Contrastive LearningDrug Discovery	CodeCode Available	1
Adversarial Self-Supervised Contrastive Learning	Jun 13, 2020	Adversarial AttackContrastive Learning	CodeCode Available	1
CoCoNets: Continuous Contrastive 3D Scene Representations	Apr 8, 2021	3D Object DetectionContrastive Learning	CodeCode Available	1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations	Jan 1, 2023	3D Object DetectionContrastive Learning	CodeCode Available	1
A Simple Graph Contrastive Learning Framework for Short Text Classification	Jan 16, 2025	Contrastive LearningData Augmentation	CodeCode Available	1
CoCon: Cooperative-Contrastive Learning	Apr 30, 2021	Action RecognitionContrastive Learning	CodeCode Available	1
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning	Sep 12, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1

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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