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 2151–2175 of 6661 papers

Title	Date	Tasks	Status	Score
MG-3D: Multi-Grained Knowledge-Enhanced 3D Medical Vision-Language Pre-training	Dec 8, 2024	Contrastive LearningMedical Image Analysis	CodeCode Available	5
Data Efficient Contrastive Learning in Histopathology using Active Sampling	Mar 28, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training	Jul 20, 2024	Contrastive LearningGraph Learning	CodeCode Available	5
A Contrastive Learning Approach to Mitigate Bias in Speech Models	Jun 20, 2024	Contrastive LearningSpoken Language Understanding	CodeCode Available	5
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations	Aug 5, 2020	Contrastive LearningInformation Retrieval	CodeCode Available	5
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos	Jan 21, 2025	Continual LearningContrastive Learning	CodeCode Available	5
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome	May 20, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment	Mar 15, 2024	AnatomyContrastive Learning	CodeCode Available	5
Multi-task Meta Label Correction for Time Series Prediction	Mar 9, 2023	Contrastive LearningData Visualization	CodeCode Available	5
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries	May 31, 2025	Contrastive Learningreinforcement-learning	CodeCode Available	5
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis	Jan 22, 2025	Cancer ClassificationComputed Tomography (CT)	CodeCode Available	5
Medical Question Summarization with Entity-driven Contrastive Learning	Apr 15, 2023	Contrastive LearningMedical Question Answering	CodeCode Available	5
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental Perception	Jan 23, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	5
CLAP. I. Resolving miscalibration for deep learning-based galaxy photometric redshift estimation	Oct 25, 2024	Computational EfficiencyContrastive Learning	CodeCode Available	5
Medication Recommendation via Dual Molecular Modalities and Multi-Step Enhancement	May 30, 2024	Contrastive LearningRecommendation Systems	CodeCode Available	5
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients	Oct 17, 2020	Contrastive LearningCOVID-19 Diagnosis	CodeCode Available	5
MassNet: A Deep Learning Approach for Body Weight Extraction from A Single Pressure Image	Mar 17, 2023	Contrastive LearningPrivacy Preserving	CodeCode Available	5
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation	Mar 17, 2022	Contrastive LearningObject	CodeCode Available	5
A Generalizable Deep Learning System for Cardiac MRI	Dec 1, 2023	Contrastive LearningDeep Learning	CodeCode Available	5
Mask-Guided Contrastive Attention Model for Person Re-Identification	Jun 1, 2018	Contrastive LearningPerson Re-Identification	CodeCode Available	5
Masked Student Dataset of Expressions	Apr 7, 2023	Contrastive LearningFacial Expression Recognition	CodeCode Available	5
Mask-informed Deep Contrastive Incomplete Multi-view Clustering	Feb 4, 2025	ClusteringContrastive Learning	CodeCode Available	5
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA	Jul 22, 2024	BenchmarkingContrastive Learning	CodeCode Available	5
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where	Sep 22, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	5
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation	Apr 22, 2024	Contrastive LearningDenoising	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