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 1026–1050 of 6661 papers

Title	Date	Tasks	Status	Hype
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations	Nov 21, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Nov 21, 2022	Contrastive Learning	CodeCode Available	1
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes	Nov 21, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning	Nov 20, 2022	Contrastive Learning	CodeCode Available	1
CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion	Nov 20, 2022	Contrastive LearningInfrared And Visible Image Fusion	CodeCode Available	1
Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation	Nov 20, 2022	Contrastive LearningImage-to-Image Translation	CodeCode Available	1
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs	Nov 20, 2022	Contrastive LearningGraph Neural Network	CodeCode Available	1
Contrastive Positive Sample Propagation along the Audio-Visual Event Line	Nov 18, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics	Nov 17, 2022	Contrastive LearningGraph Attention	CodeCode Available	1
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning	Nov 15, 2022	Backdoor AttackContrastive Learning	CodeCode Available	1
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image	Nov 15, 2022	Contrastive LearningSegmentation	CodeCode Available	1
RankCSE: Unsupervised Representation Learning via Learning to Rank	Nov 14, 2022	Contrastive LearningLearning-To-Rank	CodeCode Available	1
C3: Cross-instance guided Contrastive Clustering	Nov 14, 2022	ClusteringContrastive Learning	CodeCode Available	1
Generative Aspect-Based Sentiment Analysis with Contrastive Learning and Expressive Structure	Nov 14, 2022	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	CodeCode Available	1
Contrastive learning for regression in multi-site brain age prediction	Nov 14, 2022	Contrastive Learningregression	CodeCode Available	1
Self-Supervised Graph Structure Refinement for Graph Neural Networks	Nov 12, 2022	Contrastive LearningGPU	CodeCode Available	1
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning	Nov 12, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings	Nov 11, 2022	Contrastive LearningRetrieval	CodeCode Available	1
Unbiased Supervised Contrastive Learning	Nov 10, 2022	Contrastive Learning	CodeCode Available	1
Efficient Zero-shot Event Extraction with Context-Definition Alignment	Nov 9, 2022	Contrastive LearningEvent Extraction	CodeCode Available	1
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings	Nov 9, 2022	Contrastive LearningFew-Shot Learning	CodeCode Available	1
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection	Nov 8, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Black-Box Attack against GAN-Generated Image Detector with Contrastive Perturbation	Nov 7, 2022	Contrastive LearningDecoder	CodeCode Available	1
Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects	Nov 4, 2022	Contrastive LearningDisentanglement	CodeCode Available	1
SLICER: Learning universal audio representations using low-resource self-supervised pre-training	Nov 2, 2022	Audio ClassificationClustering	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