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 6151–6175 of 6661 papers

Title	Date	Tasks	Status	Hype
Solving Inefficiency of Self-supervised Representation Learning	Apr 18, 2021	ClusteringContrastive Learning	CodeCode Available	1
SimCSE: Simple Contrastive Learning of Sentence Embeddings	Apr 18, 2021	Contrastive LearningData Augmentation	CodeCode Available	2
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders	Apr 16, 2021	Contrastive LearningCross-Lingual Semantic Textual Similarity	CodeCode Available	1
Contrastive Learning for Sports Video: Unsupervised Player Classification	Apr 15, 2021	ClassificationContrastive Learning	CodeCode Available	1
Dual Contrastive Learning for Unsupervised Image-to-Image Translation	Apr 15, 2021	Contrastive LearningImage-to-Image Translation	CodeCode Available	1
Contrastive Learning with Stronger Augmentations	Apr 15, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
A Semi-Supervised Classification Method of Apicomplexan Parasites and Host Cell Using Contrastive Learning Strategy	Apr 14, 2021	Contrastive Learning	—Unverified	0
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning	Apr 13, 2021	Contrastive LearningGraph Representation Learning	—Unverified	0
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop	Apr 11, 2021	Contrastive Learning	—Unverified	0
Constructing Contrastive samples via Summarization for Text Classification with limited annotations	Apr 11, 2021	Contrastive LearningData Augmentation	CodeCode Available	0
Disentangled Contrastive Learning for Learning Robust Textual Representations	Apr 11, 2021	Contrastive Learning	CodeCode Available	0
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG Modeling	Apr 9, 2021	Contrastive LearningElectrocardiography (ECG)	CodeCode Available	1
Bootstrapping Semantic Segmentation with Regional Contrast	Apr 9, 2021	Contrastive LearningSegmentation	CodeCode Available	1
Context-self contrastive pretraining for crop type semantic segmentation	Apr 9, 2021	Contrastive LearningSegmentation	CodeCode Available	1
Towards Fine-grained Visual Representations by Combining Contrastive Learning with Image Reconstruction and Attention-weighted Pooling	Apr 9, 2021	Contrastive LearningDecoder	CodeCode Available	1
CoCoNets: Continuous Contrastive 3D Scene Representations	Apr 8, 2021	3D Object DetectionContrastive Learning	CodeCode Available	1
Contrastive Learning of Global-Local Video Representations	Apr 7, 2021	ClassificationContrastive Learning	CodeCode Available	1
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data	Apr 7, 2021	AttributeContrastive Learning	—Unverified	0
Scene Graph Embeddings Using Relative Similarity Supervision	Apr 6, 2021	Contrastive LearningImage Retrieval	—Unverified	0
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures	Apr 6, 2021	Contrastive LearningSelf-Supervised Learning	—Unverified	0
Localizing Visual Sounds the Hard Way	Apr 6, 2021	Contrastive Learning	CodeCode Available	1
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning	Apr 6, 2021	Contrastive LearningData Augmentation	—Unverified	0
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning	Apr 5, 2021	Contrastive LearningGeneralized Zero-Shot Learning	—Unverified	0
Graph Contrastive Clustering	Apr 3, 2021	ClusteringContrastive Learning	CodeCode Available	1
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping	Apr 2, 2021	Contrastive LearningDecoder	CodeCode Available	0

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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