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 1926–1950 of 6661 papers

Title	Date	Tasks	Status	Score
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning	Nov 21, 2023	Acoustic Scene ClassificationAudio captioning	CodeCode Available	5
Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation	Dec 15, 2024	Contrastive LearningSession-Based Recommendations	CodeCode Available	5
Multi-Label Contrastive Learning : A Comprehensive Study	Nov 27, 2024	Contrastive LearningMulti-Label Classification	CodeCode Available	5
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels	Jul 23, 2024	Contrastive Learning	CodeCode Available	5
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation	Jan 7, 2024	Audio-Visual Speech RecognitionAutomatic Speech Recognition	CodeCode Available	5
Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression	Jan 7, 2025	Action Quality AssessmentContrastive Learning	CodeCode Available	5
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models	May 16, 2023	Contrastive LearningSentence	CodeCode Available	5
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction	Oct 5, 2021	Contrastive LearningCrime Prediction	CodeCode Available	5
Multi-Label Contrastive Learning for Abstract Visual Reasoning	Dec 3, 2020	Contrastive LearningData Augmentation	CodeCode Available	5
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small Datasets	Jan 4, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	5
MSVQ: Self-Supervised Learning with Multiple Sample Views and Queues	May 9, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings	Oct 20, 2023	Contrastive LearningKnowledge Distillation	CodeCode Available	5
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation	Apr 7, 2025	Contrastive LearningDiagnostic	CodeCode Available	5
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features	Oct 19, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning	Jan 31, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
MPCODER: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning	Jun 25, 2024	Code GenerationContrastive Learning	CodeCode Available	5
M(otion)-mode Based Prediction of Ejection Fraction using Echocardiograms	Sep 7, 2023	Contrastive LearningDiagnostic	CodeCode Available	5
MuDAF: Long-Context Multi-Document Attention Focusing through Contrastive Learning on Attention Heads	Feb 19, 2025	Contrastive LearningQuestion Answering	CodeCode Available	5
Dissecting Supervised Contrastive Learning	Feb 17, 2021	Contrastive Learning	CodeCode Available	5
Morality is Non-Binary: Building a Pluralist Moral Sentence Embedding Space using Contrastive Learning	Jan 30, 2024	Contrastive LearningEthics	CodeCode Available	5
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation	Mar 12, 2024	Contrastive LearningData Augmentation	CodeCode Available	5
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning	Mar 31, 2024	AttributeContrastive Learning	CodeCode Available	5
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning	Sep 2, 2024	Contrastive Learninggraph construction	CodeCode Available	5
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners	Oct 20, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	5
Motif-Centric Representation Learning for Symbolic Music	Sep 19, 2023	Contrastive LearningDiversity	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