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 2776–2800 of 6661 papers

Title	Date	Tasks	Status	Score
Line Graph Contrastive Learning for Link Prediction	Oct 25, 2022	Contrastive LearningLink Prediction	CodeCode Available	5
Knowing Where and What: Unified Word Block Pretraining for Document Understanding	Jul 28, 2022	Contrastive Learningdocument understanding	CodeCode Available	5
Knowledge-aware Dual-side Attribute-enhanced Recommendation	Mar 24, 2024	AttributeCollaborative Filtering	CodeCode Available	5
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation	Jan 31, 2023	ClusteringContrastive Learning	CodeCode Available	5
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning	Jun 9, 2024	Contrastive Learningcounterfactual	CodeCode Available	5
Equivariant Contrastive Learning for Sequential Recommendation	Nov 10, 2022	Contrastive LearningData Augmentation	CodeCode Available	5
EqCo: Equivalent Rules for Self-supervised Contrastive Learning	Oct 5, 2020	Contrastive LearningLinear evaluation	CodeCode Available	5
ContraSim -- Analyzing Neural Representations Based on Contrastive Learning	Mar 29, 2023	Contrastive Learning	CodeCode Available	5
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization	Sep 30, 2021	Argument MiningContrastive Learning	CodeCode Available	5
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval	Apr 28, 2022	Contrastive LearningRetrieval	CodeCode Available	5
Keypoint Aware Masked Image Modelling	Jul 18, 2024	Contrastive Learning	CodeCode Available	5
Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation	Aug 8, 2023	Contrastive LearningObject	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
Adaptive Multi-head Contrastive Learning	Oct 9, 2023	Contrastive Learning	CodeCode Available	5
Joint Searching and Grounding: Multi-Granularity Video Content Retrieval	Oct 23, 2023	Contrastive LearningRetrieval	CodeCode Available	5
Joint Representation Learning for Text and 3D Point Cloud	Jan 18, 2023	Contrastive LearningInstance Segmentation	CodeCode Available	5
JojoSCL: Shrinkage Contrastive Learning for single-cell RNA sequence Clustering	May 31, 2025	ClusteringContrastive Learning	CodeCode Available	5
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation	Apr 28, 2023	AttributeContrastive Learning	CodeCode Available	5
Adversarial Bootstrapped Question Representation Learning for Knowledge Tracing	Oct 29, 2023	Contrastive LearningKnowledge Tracing	CodeCode Available	5
BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition	Dec 3, 2024	Contrastive Learningdomain classification	CodeCode Available	5
Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins	Mar 6, 2025	Contrastive LearningGraph Attention	CodeCode Available	5
Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning	Sep 4, 2022	Contrastive LearningDecision Making	CodeCode Available	5
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors	May 25, 2023	Contrastive LearningReranking	CodeCode Available	5
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications	Jan 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition	Apr 16, 2025	Contrastive LearningGraph Embedding	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