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 1126–1150 of 6661 papers

Title	Date	Tasks	Status	Hype
Diagnosing and Rectifying Vision Models using Language	Feb 8, 2023	Contrastive Learning	CodeCode Available	1
Differentiable Data Augmentation for Contrastive Sentence Representation Learning	Oct 29, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Automatically Generating Numerous Context-Driven SFT Data for LLMs across Diverse Granularity	May 26, 2024	Contrastive LearningDiversity	CodeCode Available	1
Diffusion-based Contrastive Learning for Sequential Recommendation	May 15, 2024	Contrastive LearningSequential Recommendation	CodeCode Available	1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning	Sep 2, 2024	Continual LearningContrastive Learning	CodeCode Available	1
A Message Passing Perspective on Learning Dynamics of Contrastive Learning	Mar 8, 2023	Contrastive LearningGraph Attention	CodeCode Available	1
Extending global-local view alignment for self-supervised learning with remote sensing imagery	Mar 12, 2023	Change DetectionContrastive Learning	CodeCode Available	1
Direct Preference-based Policy Optimization without Reward Modeling	Jan 30, 2023	Contrastive LearningOffline RL	CodeCode Available	1
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training	Apr 17, 2023	Contrastive LearningGPU	CodeCode Available	1
Contrastive Label Disambiguation for Partial Label Learning	Sep 29, 2021	Contrastive LearningPartial Label Learning	CodeCode Available	1
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition	Oct 8, 2024	Contrastive LearningDensity Estimation	CodeCode Available	1
Continuous Learning for Android Malware Detection	Feb 8, 2023	Active LearningAndroid Malware Detection	CodeCode Available	1
ContraBAR: Contrastive Bayes-Adaptive Deep RL	Jun 4, 2023	Contrastive LearningMeta Reinforcement Learning	CodeCode Available	1
Contrastive Grouping with Transformer for Referring Image Segmentation	Sep 2, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
ContraCLM: Contrastive Learning For Causal Language Model	Oct 3, 2022	Code GenerationCode Search	CodeCode Available	1
BankNote-Net: Open dataset for assistive universal currency recognition	Apr 7, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
Disentangled Causal Embedding With Contrastive Learning For Recommender System	Feb 7, 2023	Contrastive LearningRecommendation Systems	CodeCode Available	1
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond	Mar 12, 2023	Contrastive Learning	CodeCode Available	1
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing	Dec 18, 2023	Contrastive Learningde novo peptide sequencing	CodeCode Available	1
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	Oct 31, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection	Feb 28, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization	Oct 30, 2020	Contrastive LearningGeneral Classification	CodeCode Available	1
Distilling Visual Priors from Self-Supervised Learning	Aug 1, 2020	ClassificationContrastive Learning	CodeCode Available	1
Contrast and Classify: Training Robust VQA Models	Oct 13, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
CRIS: CLIP-Driven Referring Image Segmentation	Nov 30, 2021	Contrastive LearningDecoder	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