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 1051–1075 of 6661 papers

Title	Date	Tasks	Status	Hype
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders	Nov 1, 2023	AvgContrastive Learning	CodeCode Available	1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment	Dec 2, 2022	Anomaly DetectionContrastive Learning	CodeCode Available	1
Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN	Aug 13, 2024	Contrastive LearningDisaster Response	CodeCode Available	1
Debiased Contrastive Learning for Sequential Recommendation	Mar 21, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation	Mar 22, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
Counterfactual contrastive learning: robust representations via causal image synthesis	Mar 14, 2024	Contrastive Learningcounterfactual	CodeCode Available	1
Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement	Oct 12, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought	Sep 20, 2023	Contrastive LearningDenoising	CodeCode Available	1
Temporal Context Aggregation for Video Retrieval with Contrastive Learning	Aug 4, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Contrastive Domain Adaptation for Time-Series via Temporal Mixup	Dec 3, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment	Jun 7, 2024	Contrastive LearningZero-Shot Learning	CodeCode Available	1
CoSQA: 20,000+ Web Queries for Code Search and Question Answering	May 27, 2021	Code SearchContrastive Learning	CodeCode Available	1
CoRTX: Contrastive Framework for Real-time Explanation	Mar 5, 2023	Contrastive Learning	CodeCode Available	1
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning	Jun 9, 2022	Contrastive LearningGraph Representation Learning	CodeCode Available	1
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations	Mar 3, 2022	AttributeContrastive Learning	CodeCode Available	1
Correspondence Matters for Video Referring Expression Comprehension	Jul 21, 2022	Contrastive LearningReferring Expression	CodeCode Available	1
Convolutional Cross-View Pose Estimation	Mar 9, 2023	Contrastive LearningDecoder	CodeCode Available	1
CONVERT:Contrastive Graph Clustering with Reliable Augmentation	Aug 17, 2023	ClusteringContrastive Learning	CodeCode Available	1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition	Oct 1, 2022	Contrastive Learningfew-shot-ner	CodeCode Available	1
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning	Nov 15, 2022	Backdoor AttackContrastive Learning	CodeCode Available	1
ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification	May 16, 2023	ClassificationContrastive Learning	CodeCode Available	1
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations	Apr 1, 2022	ClusteringContrastive Learning	CodeCode Available	1
Contrast-Phys+: Unsupervised and Weakly-supervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast	Sep 13, 2023	Computational EfficiencyContrastive Learning	CodeCode Available	1
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings	May 23, 2023	Community DetectionContrastive Learning	CodeCode Available	1
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding	Sep 22, 2022	Contrastive LearningVideo Grounding	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