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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 901–925 of 6661 papers

Title	Date	Tasks	Status	Hype
CLIP-Event: Connecting Text and Images with Event Structures	Jan 13, 2022	Contrastive LearningEvent Extraction	CodeCode Available	1
Asymmetric Patch Sampling for Contrastive Learning	Jun 5, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	1
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data	Dec 14, 2023	Contrastive LearningFederated Learning	CodeCode Available	1
ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification	Mar 30, 2021	Contrastive LearningPerson Re-Identification	CodeCode Available	1
CLIP-KD: An Empirical Study of CLIP Model Distillation	Jul 24, 2023	Contrastive LearningCross-Modal Retrieval	CodeCode Available	1
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision	Dec 14, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning	May 29, 2024	Contrastive LearningLanguage Modelling	CodeCode Available	1
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks	Jul 14, 2022	ClusteringContrastive Learning	CodeCode Available	1
Image Quality Assessment using Contrastive Learning	Oct 25, 2021	Contrastive LearningImage Quality Assessment	CodeCode Available	1
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation	Apr 5, 2024	Contrastive LearningLanguage Modeling	CodeCode Available	1
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness	Jul 22, 2022	Adversarial RobustnessContrastive Learning	CodeCode Available	1
Improved Baselines with Momentum Contrastive Learning	Mar 9, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection	Feb 18, 2025	Contrastive LearningDomain Generalization	CodeCode Available	1
Improving Antibody Humanness Prediction using Patent Data	Jan 25, 2024	Contrastive LearningDrug Discovery	CodeCode Available	1
Improving Contrastive Learning by Visualizing Feature Transformation	Aug 6, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Improving Contrastive Learning of Sentence Embeddings with Case-Augmented Positives and Retrieved Negatives	Jun 6, 2022	AttributeContrastive Learning	CodeCode Available	1
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling	Nov 1, 2021	AttributeContrastive Learning	CodeCode Available	1
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling	May 21, 2021	AttributeContrastive Learning	CodeCode Available	1
CLMLF:A Contrastive Learning and Multi-Layer Fusion Method for Multimodal Sentiment Detection	Apr 12, 2022	Contrastive LearningSentiment Analysis	CodeCode Available	1
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning	Feb 13, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	1
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning	Jan 1, 2023	3D geometryContrastive Learning	CodeCode Available	1
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning	Aug 22, 2022	Contrastive LearningKnowledge-Aware Recommendation	CodeCode Available	1
Improving Self-Supervised Learning by Characterizing Idealized Representations	Sep 13, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients	May 27, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs	Jun 6, 2023	Contrastive LearningSTS	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