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 1276–1300 of 6661 papers

Title	Date	Tasks	Status	Hype
Graph Contrastive Learning for Skeleton-based Action Recognition	Jan 26, 2023	Action RecognitionContrastive Learning	CodeCode Available	1
Blind Localization and Clustering of Anomalies in Textures	Apr 18, 2024	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Graph Contrastive Learning with Adaptive Augmentation	Oct 27, 2020	AttributeContrastive Learning	CodeCode Available	1
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization	Dec 19, 2024	Contrastive LearningDecision Making	CodeCode Available	1
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation	Aug 14, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Graph Self-supervised Learning with Accurate Discrepancy Learning	Feb 7, 2022	Contrastive LearningLink Prediction	CodeCode Available	1
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation	Jun 28, 2023	Contrastive LearningSegmentation	CodeCode Available	1
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding	May 2, 2022	Contrastive LearningSpoken Language Understanding	CodeCode Available	1
Group-wise Contrastive Learning for Neural Dialogue Generation	Sep 16, 2020	Contrastive LearningDialogue Generation	CodeCode Available	1
Contrastive Positive Sample Propagation along the Audio-Visual Event Line	Nov 18, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling	Sep 25, 2020	Contrastive LearningDenoising	CodeCode Available	1
Contrastive Learning for Knowledge Tracing	Apr 25, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
H2CGL: Modeling Dynamics of Citation Network for Impact Prediction	Apr 16, 2023	Contrastive LearningGraph Learning	CodeCode Available	1
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation	Nov 23, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Hard Negative Mixing for Contrastive Learning	Oct 2, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection	Jul 2, 2024	Anomaly DetectionContrastive Learning	CodeCode Available	1
HCSC: Hierarchical Contrastive Selective Coding	Feb 1, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition	Dec 7, 2021	Action RecognitionContrastive Learning	CodeCode Available	1
HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning	Dec 5, 2024	Contrastive LearningDocument Classification	CodeCode Available	1
Automated Essay Scoring via Pairwise Contrastive Regression	Oct 1, 2022	Automated Essay ScoringContrastive Learning	CodeCode Available	1
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation	May 20, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive Learning for Sequential Recommendation	Oct 27, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples	Dec 28, 2022	Contrastive LearningNode Clustering	CodeCode Available	1
Contrastive Learning for Neural Topic Model	Oct 25, 2021	Contrastive Learningmodel	CodeCode Available	1
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	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