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 1301–1325 of 6661 papers

Title	Date	Tasks	Status	Hype
Hierarchical Self-Supervised Adversarial Training for Robust Vision Models in Histopathology	Mar 13, 2025	Contrastive Learning	CodeCode Available	1
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification	Jul 24, 2023	Contrastive LearningPerson Re-Identification	CodeCode Available	1
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation	Aug 14, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification	Mar 26, 2024	Contrastive LearningDocument Embedding	CodeCode Available	1
Contrastive Learning for Prompt-Based Few-Shot Language Learners	May 3, 2022	Contrastive LearningIn-Context Learning	CodeCode Available	1
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification	Nov 12, 2024	ClassificationContrastive Learning	CodeCode Available	1
Contrastive learning for regression in multi-site brain age prediction	Nov 14, 2022	Contrastive Learningregression	CodeCode Available	1
An Efficient Self-Supervised Cross-View Training For Sentence Embedding	Nov 6, 2023	Contrastive LearningLanguage Modeling	CodeCode Available	1
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation	Oct 12, 2021	Contrastive LearningSequential Recommendation	CodeCode Available	1
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations	Oct 26, 2022	Contrastive LearningSemantic Segmentation	CodeCode Available	1
Self-supervised Spatial Reasoning on Multi-View Line Drawings	Apr 27, 2021	Binary ClassificationContrastive Learning	CodeCode Available	1
Contrastive Test-Time Adaptation	Apr 21, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Contrastive Learning of Medical Visual Representations from Paired Images and Text	Oct 2, 2020	Contrastive LearningDescriptive	CodeCode Available	1
Contrastive Learning for Sports Video: Unsupervised Player Classification	Apr 15, 2021	ClassificationContrastive Learning	CodeCode Available	1
An Empirical Study on Disentanglement of Negative-free Contrastive Learning	Jun 9, 2022	Contrastive LearningDisentanglement	CodeCode Available	1
Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation	Dec 16, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Learning for Unpaired Image-to-Image Translation	Jul 30, 2020	Contrastive LearningImage Generation	CodeCode Available	1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Jun 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Hypergraph Contrastive Collaborative Filtering	Apr 26, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	1
Hyperspherical Consistency Regularization	Jun 2, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
I0T: Embedding Standardization Method Towards Zero Modality Gap	Dec 18, 2024	Contrastive LearningImage-text Retrieval	CodeCode Available	1
iDAG: Invariant DAG Searching for Domain Generalization	Jan 1, 2023	Contrastive LearningDomain Generalization	CodeCode Available	1
Identifiability Results for Multimodal Contrastive Learning	Mar 16, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1
Denoise and Contrast for Category Agnostic Shape Completion	Mar 30, 2021	Contrastive LearningDenoising	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