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 1076–1100 of 6661 papers

Title	Date	Tasks	Status	Hype	Score
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation	Mar 7, 2024	Continual LearningContrastive Learning	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
Contrastive Collaborative Filtering for Cold-Start Item Recommendation	Feb 4, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1	5
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing	Nov 30, 2023	Contrastive LearningDenoising	CodeCode Available	1	5
Contrastive Embeddings for Neural Architectures	Feb 8, 2021	Contrastive LearningNeural Architecture Search	CodeCode Available	1	5
Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning	Mar 28, 2022	Action ClassificationContrastive Learning	CodeCode Available	1	5
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions	May 19, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks	Dec 30, 2021	ClusteringContrastive Learning	CodeCode Available	1	5
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition	Nov 23, 2022	Contrastive LearningDiversity	CodeCode Available	1	5
Contrastive Grouping with Transformer for Referring Image Segmentation	Sep 2, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1	5
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer	May 25, 2021	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1	5
Contrastive Clustering	Sep 21, 2020	ClusteringContrastive Learning	CodeCode Available	1	5
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding	May 2, 2022	Contrastive LearningSpoken Language Understanding	CodeCode Available	1	5
g3D-LF: Generalizable 3D-Language Feature Fields for Embodied Tasks	Nov 26, 2024	Contrastive LearningQuestion Answering	CodeCode Available	1	5
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition	Jan 31, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1	5
Consistent Explanations by Contrastive Learning	Oct 1, 2021	Contrastive LearningExplainable artificial intelligence	CodeCode Available	1	5
Consistent Representation Learning for Continual Relation Extraction	Mar 5, 2022	Continual Relation ExtractionContrastive Learning	CodeCode Available	1	5
Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation	Sep 18, 2023	Contrastive LearningData Augmentation	CodeCode Available	1	5
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings	Jan 28, 2024	Contrastive LearningDescriptive	CodeCode Available	1	5
Contrastive Code Representation Learning	Jul 9, 2020	Clone DetectionContrastive Learning	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
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning	Feb 19, 2024	Contrastive Learning	CodeCode Available	1	5
A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems	Dec 25, 2023	Autonomous DrivingContrastive Learning	CodeCode Available	1	5
Contrastive Deep Supervision	Jul 12, 2022	Contrastive LearningFine-Grained Image Classification	CodeCode Available	1	5
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space	Oct 30, 2023	Contrastive LearningTime Series	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