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

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Showing 726–750 of 6661 papers

Title	Date	Tasks	Status	Hype
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework	Jul 24, 2023	Contrastive LearningMultimodal Reasoning	CodeCode Available	1
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning	Jul 24, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation	Jul 24, 2023	Contrastive LearningImage Reconstruction	CodeCode Available	1
ASCON: Anatomy-aware Supervised Contrastive Learning Framework for Low-dose CT Denoising	Jul 23, 2023	AnatomyComputed Tomography (CT)	CodeCode Available	1
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis	Jul 22, 2023	Contrastive LearningImage Generation	CodeCode Available	1
Density-invariant Features for Distant Point Cloud Registration	Jul 19, 2023	Autonomous VehiclesContrastive Learning	CodeCode Available	1
Semantic-Aware Dual Contrastive Learning for Multi-label Image Classification	Jul 19, 2023	Contrastive Learningimage-classification	CodeCode Available	1
Multi-Grained Multimodal Interaction Network for Entity Linking	Jul 19, 2023	Contrastive LearningDescriptive	CodeCode Available	1
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning	Jul 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Neural Architecture Retrieval	Jul 16, 2023	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Mini-Batch Optimization of Contrastive Loss	Jul 12, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Contrastive Learning for Conversion Rate Prediction	Jul 12, 2023	Contrastive LearningPrediction	CodeCode Available	1
Generative Contrastive Graph Learning for Recommendation	Jul 11, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1
Towards Cross-Table Masked Pretraining for Web Data Mining	Jul 10, 2023	Contrastive Learning	CodeCode Available	1
Weakly-supervised positional contrastive learning: application to cirrhosis classification	Jul 10, 2023	ClassificationContrastive Learning	CodeCode Available	1
mCLIP: Multilingual CLIP via Cross-lingual Transfer	Jul 10, 2023	Contrastive LearningCross-Lingual Transfer	CodeCode Available	1
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification	Jul 9, 2023	Contrastive LearningLesion Classification	CodeCode Available	1
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning	Jul 7, 2023	Contrastive Learningreinforcement-learning	CodeCode Available	1
Knowledge Graph Self-Supervised Rationalization for Recommendation	Jul 6, 2023	Contrastive LearningGraph Learning	CodeCode Available	1
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning	Jul 6, 2023	Contrastive LearningDecoder	CodeCode Available	1
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data	Jul 5, 2023	Alzheimer's Disease DetectionContrastive Learning	CodeCode Available	1
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need	Jul 5, 2023	AllClassification	CodeCode Available	1
GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation	Jun 28, 2023	Contrastive LearningSegmentation	CodeCode Available	1
Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning	Jun 28, 2023	Contrastive LearningDrug Design	CodeCode Available	1
Subclass-balancing Contrastive Learning for Long-tailed Recognition	Jun 28, 2023	Contrastive LearningRepresentation Learning	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