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 1401–1425 of 6661 papers

Title	Date	Tasks	Status	Hype
Contrastive Learning with Hard Negative Entities for Entity Set Expansion	Apr 16, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	1
Contrastive Learning with Hard Negative Samples	Oct 9, 2020	Contrastive LearningMetric Learning	CodeCode Available	1
Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection	Dec 8, 2021	Contrastive LearningCopy Detection	CodeCode Available	1
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning	May 21, 2023	Abstract Meaning RepresentationContrastive Learning	CodeCode Available	1
Learning Better Contrastive View from Radiologist's Gaze	May 15, 2023	Contrastive LearningData Augmentation	CodeCode Available	1
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints	Jan 5, 2023	Contrastive LearningSelf-Supervised Image Classification	CodeCode Available	1
DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors	Jun 10, 2020	AttributeContrastive Learning	CodeCode Available	1
Compressive Visual Representations	Sep 27, 2021	Contrastive LearningImage Classification	CodeCode Available	1
Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference	May 1, 2022	Contrastive LearningDiversity	CodeCode Available	1
Contrastive Learning with Stronger Augmentations	Apr 15, 2021	Contrastive LearningRepresentation Learning	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
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models	Dec 18, 2024	Contrastive LearningKnowledge Graphs	CodeCode Available	1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning	Dec 6, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data	Aug 7, 2023	Contrastive LearningFederated Learning	CodeCode Available	1
Contrastive Masked Autoencoders are Stronger Vision Learners	Jul 27, 2022	Contrastive LearningDecoder	CodeCode Available	1
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning	Feb 27, 2021	Anomaly DetectionContrastive Learning	CodeCode Available	1
Learning Non-target Knowledge for Few-shot Semantic Segmentation	May 10, 2022	Contrastive LearningFew-Shot Semantic Segmentation	CodeCode Available	1
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications	Dec 10, 2021	BenchmarkingContrastive Learning	CodeCode Available	1
SPAN: Learning Similarity between Scene Graphs and Images with Transformers	Apr 2, 2023	Contrastive LearningGraph Generation	CodeCode Available	1
Contrastive Mean Teacher for Domain Adaptive Object Detectors	May 4, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Contrastive Meta Learning with Behavior Multiplicity for Recommendation	Feb 17, 2022	Contrastive LearningMeta-Learning	CodeCode Available	1
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation	Mar 9, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter	Sep 6, 2023	Contrastive LearningDenoising	CodeCode Available	1
Broken Neural Scaling Laws	Oct 26, 2022	Adversarial RobustnessContinual Learning	CodeCode Available	1
Contrastive Positive Sample Propagation along the Audio-Visual Event Line	Nov 18, 2022	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