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	Score
Contrastive Collaborative Filtering for Cold-Start Item Recommendation	Feb 4, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1	5
Contrastive Grouping with Transformer for Referring Image Segmentation	Sep 2, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data	Mar 24, 2023	Contrastive Learning	CodeCode Available	1	5
Contrast and Generation Make BART a Good Dialogue Emotion Recognizer	Dec 21, 2021	Contrastive LearningDecoder	CodeCode Available	1	5
ContrastCAD: Contrastive Learning-based Representation Learning for Computer-Aided Design Models	Apr 2, 2024	Contrastive LearningData Augmentation	CodeCode Available	1	5
Benchmarking Omni-Vision Representation through the Lens of Visual Realms	Jul 14, 2022	BenchmarkingContrastive Learning	CodeCode Available	1	5
Behavior Contrastive Learning for Unsupervised Skill Discovery	May 8, 2023	continuous-controlContinuous Control	CodeCode Available	1	5
CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction	Oct 24, 2023	Aspect Sentiment Triplet ExtractionAspect Term Extraction and Sentiment Classification	CodeCode Available	1	5
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond	Mar 12, 2023	Contrastive Learning	CodeCode Available	1	5
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	5
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing	Dec 18, 2023	Contrastive Learningde novo peptide sequencing	CodeCode Available	1	5
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning	Apr 14, 2023	Change DetectionContrastive Learning	CodeCode Available	1	5
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning	Mar 2, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	1	5
BECLR: Batch Enhanced Contrastive Few-Shot Learning	Feb 4, 2024	Contrastive LearningFew-Shot Image Classification	CodeCode Available	1	5
Contrast and Classify: Training Robust VQA Models	Oct 13, 2020	Contrastive LearningData Augmentation	CodeCode Available	1	5
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series	Oct 21, 2023	Contrastive LearningEEG	CodeCode Available	1	5
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Jan 31, 2023	Adversarial RobustnessAutonomous Driving	CodeCode Available	1	5
Continuous Learning for Android Malware Detection	Feb 8, 2023	Active LearningAndroid Malware Detection	CodeCode Available	1	5
3D Interaction Geometric Pre-training for Molecular Relational Learning	Dec 4, 2024	Contrastive LearningDrug Discovery	CodeCode Available	1	5
Adversarial Self-Supervised Contrastive Learning	Jun 13, 2020	Adversarial AttackContrastive Learning	CodeCode Available	1	5
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs	Jun 6, 2023	Contrastive LearningSTS	CodeCode Available	1	5
ContraBAR: Contrastive Bayes-Adaptive Deep RL	Jun 4, 2023	Contrastive LearningMeta Reinforcement Learning	CodeCode Available	1	5
BankNote-Net: Open dataset for assistive universal currency recognition	Apr 7, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1	5
Beyond Co-occurrence: Multi-modal Session-based Recommendation	Sep 29, 2023	Contrastive LearningDescriptive	CodeCode Available	1	5
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning	Sep 12, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1	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