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	Score
Denoising Diffusion Autoencoders are Unified Self-supervised Learners	Mar 17, 2023	Contrastive LearningDenoising	CodeCode Available	1	5
Blind Localization and Clustering of Anomalies in Textures	Apr 18, 2024	Anomaly DetectionAnomaly Localization	CodeCode Available	1	5
Dense Contrastive Learning for Self-Supervised Visual Pre-Training	Nov 18, 2020	Contrastive Learningimage-classification	CodeCode Available	1	5
Alleviating Exposure Bias via Contrastive Learning for Abstractive Text Summarization	Aug 26, 2021	Abstractive Text SummarizationContrastive Learning	CodeCode Available	1	5
HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining	Oct 10, 2022	Contrastive Learning	CodeCode Available	1	5
Hierarchical Consensus Network for Multiview Feature Learning	Feb 4, 2025	Contrastive LearningMultiview Learning	CodeCode Available	1	5
Diffusion-based Contrastive Learning for Sequential Recommendation	May 15, 2024	Contrastive LearningSequential Recommendation	CodeCode Available	1	5
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding	May 2, 2022	Contrastive LearningSpoken Language Understanding	CodeCode Available	1	5
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration	Sep 12, 2023	Contrastive LearningImage Dehazing	CodeCode Available	1	5
Contrastive Model Inversion for Data-Free Knowledge Distillation	May 18, 2021	Contrastive LearningData-free Knowledge Distillation	CodeCode Available	1	5
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking	Oct 19, 2022	Chinese Spell CheckingContrastive Learning	CodeCode Available	1	5
Contrastive Learning for Knowledge Tracing	Apr 25, 2022	Contrastive LearningData Augmentation	CodeCode Available	1	5
Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning	Apr 18, 2022	Contrastive Learning	CodeCode Available	1	5
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation	Nov 23, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues	Sep 18, 2023	Continual LearningContrastive Learning	CodeCode Available	1	5
Automated Essay Scoring via Pairwise Contrastive Regression	Oct 1, 2022	Automated Essay ScoringContrastive Learning	CodeCode Available	1	5
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification	Mar 15, 2023	Contrastive LearningMissing Labels	CodeCode Available	1	5
Boosting Few-Shot Classification with View-Learnable Contrastive Learning	Jul 20, 2021	ClassificationContrastive Learning	CodeCode Available	1	5
HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction	Feb 27, 2022	Contrastive LearningData Augmentation	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 for Many-to-many Multilingual Neural Machine Translation	May 20, 2021	Contrastive LearningData Augmentation	CodeCode Available	1	5
Extending global-local view alignment for self-supervised learning with remote sensing imagery	Mar 12, 2023	Change DetectionContrastive Learning	CodeCode Available	1	5
Direct Preference-based Policy Optimization without Reward Modeling	Jan 30, 2023	Contrastive LearningOffline RL	CodeCode Available	1	5
Contrastive Learning for Neural Topic Model	Oct 25, 2021	Contrastive Learningmodel	CodeCode Available	1	5
Contrastive Learning of User Behavior Sequence for Context-Aware Document Ranking	Aug 24, 2021	Contrastive LearningData Augmentation	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