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 1551–1575 of 6661 papers

Title	Date	Tasks	Status	Hype
Dual-level Adaptive Incongruity-enhanced Model for Multimodal Sarcasm Detection	Jan 7, 2025	Contrastive LearningSarcasm Detection	CodeCode Available	1
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning	Jun 7, 2024	Contrastive LearningLanguage Modeling	CodeCode Available	1
CCL: Continual Contrastive Learning for LiDAR Place Recognition	Mar 24, 2023	Autonomous DrivingContinual Learning	CodeCode Available	1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought	Sep 20, 2023	Contrastive LearningDenoising	CodeCode Available	1
DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph	Oct 19, 2022	Contrastive LearningDisentanglement	CodeCode Available	1
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection	Aug 16, 2022	Contrastive LearningObject	CodeCode Available	1
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification	Jan 15, 2022	ClusteringContrastive Learning	CodeCode Available	1
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning	Nov 20, 2023	Contrastive LearningNovel View Synthesis	CodeCode Available	1
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models	Jun 8, 2024	Contrastive Learning	CodeCode Available	1
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images	Dec 13, 2020	Contrastive LearningObject Localization	CodeCode Available	1
COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction	Mar 22, 2021	ClusteringContrastive Learning	CodeCode Available	1
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach	Sep 30, 2020	Anomaly DetectionContrastive Learning	CodeCode Available	1
On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning	Dec 18, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
On Learning to Summarize with Large Language Models as References	May 23, 2023	ArticlesContrastive Learning	CodeCode Available	1
On Narrative Information and the Distillation of Stories	Nov 22, 2022	Contrastive LearningEvolutionary Algorithms	CodeCode Available	1
On Representation Knowledge Distillation for Graph Neural Networks	Nov 9, 2021	Contrastive LearningKnowledge Distillation	CodeCode Available	1
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation	Mar 22, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
CDPAM: Contrastive learning for perceptual audio similarity	Feb 9, 2021	Contrastive LearningSpeech Enhancement	CodeCode Available	1
Adversarial Self-Supervised Contrastive Learning	Jun 13, 2020	Adversarial AttackContrastive Learning	CodeCode Available	1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement	Oct 12, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment	Jun 7, 2024	Contrastive LearningZero-Shot Learning	CodeCode Available	1
OntoProtein: Protein Pretraining With Gene Ontology Embedding	Jan 23, 2022	Contrastive LearningKnowledge Graphs	CodeCode Available	1
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening	Oct 10, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data	Sep 11, 2023	Contrastive LearningDomain Generalization	CodeCode Available	1
Cross-Architecture Self-supervised Video Representation Learning	May 26, 2022	Action RecognitionContrastive Learning	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