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 2676–2700 of 6661 papers

Title	Date	Tasks	Status	Score
Latent Processes Identification From Multi-View Time Series	May 14, 2023	Contrastive LearningTime Series	CodeCode Available	5
Learning Representations for Clustering via Partial Information Discrimination and Cross-Level Interaction	Jan 24, 2024	ClusteringContrastive Learning	CodeCode Available	5
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection	Sep 9, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	5
Exploring Instance Relations for Unsupervised Feature Embedding	May 7, 2021	Contrastive Learningimage-classification	CodeCode Available	5
How does Contrastive Learning Organize Images?	May 17, 2023	ClusteringContrastive Learning	CodeCode Available	5
Contrastive Attraction and Contrastive Repulsion for Representation Learning	May 8, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	5
L^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering	Jul 19, 2024	Collaborative FilteringContrastive Learning	CodeCode Available	5
Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection	Jun 12, 2024	Contrastive LearningHate Speech Detection	CodeCode Available	5
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation	Nov 22, 2021	Contrastive LearningImage Segmentation	CodeCode Available	5
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation	Jul 31, 2023	Contrastive LearningDenoising	CodeCode Available	5
Knowledge-aware Dual-side Attribute-enhanced Recommendation	Mar 24, 2024	AttributeCollaborative Filtering	CodeCode Available	5
Knowing Where and What: Unified Word Block Pretraining for Document Understanding	Jul 28, 2022	Contrastive Learningdocument understanding	CodeCode Available	5
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings	May 5, 2025	Contrastive LearningSentence	CodeCode Available	5
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval	Apr 28, 2022	Contrastive LearningRetrieval	CodeCode Available	5
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction	Nov 15, 2022	Contrastive Learning	CodeCode Available	5
Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning	Sep 11, 2023	Contrastive LearningHyperedge Prediction	CodeCode Available	5
Contrastive Bi-Projector for Unsupervised Domain Adaption	Aug 14, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization	Sep 30, 2021	Argument MiningContrastive Learning	CodeCode Available	5
Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification	Apr 11, 2024	Contrastive LearningDeep Learning	CodeCode Available	5
Joint Searching and Grounding: Multi-Granularity Video Content Retrieval	Oct 23, 2023	Contrastive LearningRetrieval	CodeCode Available	5
A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis	Nov 10, 2021	AttributeContrastive Learning	CodeCode Available	5
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification	Feb 24, 2024	Cancer ClassificationContrastive Learning	CodeCode Available	5
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation	Feb 11, 2024	Contrastive LearningConversational Search	CodeCode Available	5
Joint Representation Learning for Text and 3D Point Cloud	Jan 18, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	5
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation	Jan 21, 2022	Contrastive Learningfeature selection	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