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 1776–1800 of 6661 papers

Title	Date	Tasks	Status	Hype
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries	Nov 17, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
Unsupervised Contrastive Learning of Sound Event Representations	Nov 15, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
CODER: Knowledge infused cross-lingual medical term embedding for term normalization	Nov 5, 2020	Contrastive LearningKnowledge Graphs	CodeCode Available	1
Learning and Evaluating Representations for Deep One-class Classification	Nov 4, 2020	Anomaly DetectionClassification	CodeCode Available	1
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning	Nov 3, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering	Nov 1, 2020	Contrastive Learningcounterfactual	CodeCode Available	1
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization	Oct 30, 2020	Contrastive LearningGeneral Classification	CodeCode Available	1
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning	Oct 29, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Graph Contrastive Learning with Adaptive Augmentation	Oct 27, 2020	AttributeContrastive Learning	CodeCode Available	1
Contrastive Learning for Sequential Recommendation	Oct 27, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
Robust Pre-Training by Adversarial Contrastive Learning	Oct 26, 2020	Adversarial RobustnessContrastive Learning	CodeCode Available	1
Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning	Oct 22, 2020	Audio FingerprintContrastive Learning	CodeCode Available	1
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction	Oct 22, 2020	Contrastive LearningPrediction	CodeCode Available	1
Graph Contrastive Learning with Augmentations	Oct 22, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Improving Transformation Invariance in Contrastive Representation Learning	Oct 19, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator	Oct 19, 2020	continuous-controlContinuous Control	CodeCode Available	1
Self-supervised Co-training for Video Representation Learning	Oct 19, 2020	Action RecognitionContrastive Learning	CodeCode Available	1
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning	Oct 17, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
Masked Contrastive Representation Learning for Reinforcement Learning	Oct 15, 2020	Atari GamesContrastive Learning	CodeCode Available	1
Representation Learning via Invariant Causal Mechanisms	Oct 15, 2020	Contrastive LearningOut-of-Distribution Generalization	CodeCode Available	1
Viewmaker Networks: Learning Views for Unsupervised Representation Learning	Oct 14, 2020	Contrastive LearningRepresentation Learning	CodeCode Available	1
MixCo: Mix-up Contrastive Learning for Visual Representation	Oct 13, 2020	Contrastive LearningLinear evaluation	CodeCode Available	1
Contrast and Classify: Training Robust VQA Models	Oct 13, 2020	Contrastive LearningData Augmentation	CodeCode Available	1
MS^2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition	Oct 12, 2020	Action RecognitionContrastive 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