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 676–700 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer	May 25, 2021	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1	5
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings	May 23, 2023	Community DetectionContrastive Learning	CodeCode Available	1	5
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering	Jun 16, 2022	ClusteringContrastive Learning	CodeCode Available	1	5
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning	May 26, 2022	Contrastive LearningQuantization	CodeCode Available	1	5
Consistent Explanations by Contrastive Learning	Oct 1, 2021	Contrastive LearningExplainable artificial intelligence	CodeCode Available	1	5
Dual-level Adaptive Incongruity-enhanced Model for Multimodal Sarcasm Detection	Jan 7, 2025	Contrastive LearningSarcasm Detection	CodeCode Available	1	5
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement	May 14, 2024	Contrastive LearningHypergraph Contrastive Learning	CodeCode Available	1	5
DeepCRF: Deep Learning-Enhanced CSI-Based RF Fingerprinting for Channel-Resilient WiFi Device Identification	Nov 11, 2024	Contrastive LearningData Augmentation	CodeCode Available	1	5
An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models	Jul 5, 2024	Answer GenerationContrastive Learning	CodeCode Available	1	5
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation	Nov 20, 2022	Contrastive LearningImage-to-Image Translation	CodeCode Available	1	5
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images	Mar 5, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1	5
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding	Jul 1, 2021	Contrastive LearningNatural Language Understanding	CodeCode Available	1	5
A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation	Dec 25, 2023	Contrastive LearningDiversity	CodeCode Available	1	5
Temporal Context Aggregation for Video Retrieval with Contrastive Learning	Aug 4, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
Context-self contrastive pretraining for crop type semantic segmentation	Apr 9, 2021	Contrastive LearningSegmentation	CodeCode Available	1	5
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics	Nov 26, 2021	Contrastive Learning	CodeCode Available	1	5
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation	Dec 17, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot Filling	Oct 7, 2021	Contrastive Learningslot-filling	CodeCode Available	1	5
DVIS++: Improved Decoupled Framework for Universal Video Segmentation	Dec 20, 2023	Contrastive LearningDenoising	CodeCode Available	1	5
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	Oct 12, 2024	ClusteringContrastive Learning	CodeCode Available	1	5
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning	Aug 14, 2023	Contrastive LearningGenerative Adversarial Network	CodeCode Available	1	5
Continuous Learning for Android Malware Detection	Feb 8, 2023	Active LearningAndroid Malware Detection	CodeCode Available	1	5
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses	May 28, 2024	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
A class-weighted supervised contrastive learning long-tailed bearing fault diagnosis approach using quadratic neural network	Sep 21, 2023	Contrastive LearningData Augmentation	CodeCode Available	1	5
Deep Contrastive One-Class Time Series Anomaly Detection	Jul 4, 2022	Anomaly DetectionContrastive Learning	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