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 1301–1325 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation	Jun 15, 2022	Contrastive LearningDenoising	CodeCode Available	1	5
Contrastive Prototypical Network with Wasserstein Confidence Penalty	Oct 21, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1	5
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning	Apr 24, 2020	Contrastive LearningDisentanglement	CodeCode Available	1	5
Learning with Partial Labels from Semi-supervised Perspective	Nov 24, 2022	Contrastive LearningPartial Label Learning	CodeCode Available	1	5
Contrastive Learning for Prompt-Based Few-Shot Language Learners	May 3, 2022	Contrastive LearningIn-Context Learning	CodeCode Available	1	5
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images	Jul 17, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
Contrastive learning for regression in multi-site brain age prediction	Nov 14, 2022	Contrastive Learningregression	CodeCode Available	1	5
An Efficient Self-Supervised Cross-View Training For Sentence Embedding	Nov 6, 2023	Contrastive LearningLanguage Modeling	CodeCode Available	1	5
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation	Oct 12, 2021	Contrastive LearningSequential Recommendation	CodeCode Available	1	5
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations	Oct 26, 2022	Contrastive LearningSemantic Segmentation	CodeCode Available	1	5
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jul 14, 2022	Contrastive LearningSaliency Detection	CodeCode Available	1	5
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition	May 20, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1	5
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition	Mar 24, 2025	Contrastive LearningScene Text Recognition	CodeCode Available	1	5
Contrastive Learning for Sports Video: Unsupervised Player Classification	Apr 15, 2021	ClassificationContrastive Learning	CodeCode Available	1	5
An Empirical Study on Disentanglement of Negative-free Contrastive Learning	Jun 9, 2022	Contrastive LearningDisentanglement	CodeCode Available	1	5
Disentangling Long and Short-Term Interests for Recommendation	Feb 26, 2022	Contrastive Learningcounterfactual	CodeCode Available	1	5
Contrastive Learning for Unpaired Image-to-Image Translation	Jul 30, 2020	Contrastive LearningImage Generation	CodeCode Available	1	5
HILL: Hierarchy-aware Information Lossless Contrastive Learning for Hierarchical Text Classification	Mar 26, 2024	Contrastive LearningDocument Embedding	CodeCode Available	1	5
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Jun 13, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection	Feb 28, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation	Jul 5, 2021	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders	Oct 15, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
Hybrid Generative-Contrastive Representation Learning	Jun 11, 2021	Contrastive LearningDecoder	CodeCode Available	1	5
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings	Apr 1, 2022	Contrastive LearningKnowledge Distillation	CodeCode Available	1	5
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels	Apr 28, 2020	AllAtari Games 100k	CodeCode Available	1	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