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 5676–5700 of 6661 papers

Title	Date	Tasks	Status	Hype
Towards EEG signals codification using contrastiveloss	Oct 16, 2021	Contrastive LearningEEG	—Unverified	0
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems	Oct 16, 2021	Contrastive LearningMath	CodeCode Available	1
Virtual Augmentation Supported Contrastive Learning of Sentence Representations	Oct 16, 2021	Contrastive LearningData Augmentation	CodeCode Available	1
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science	Oct 15, 2021	Contrastive LearningProperty Prediction	CodeCode Available	0
Self-supervised Contrastive Attributed Graph Clustering	Oct 15, 2021	AttributeClustering	—Unverified	0
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation	Oct 15, 2021	3D Semantic SegmentationContrastive Learning	CodeCode Available	1
Sentence-aware Contrastive Learning for Open-Domain Passage Retrieval	Oct 14, 2021	Contrastive LearningPassage Retrieval	—Unverified	0
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling	Oct 14, 2021	Coherence EvaluationContrastive Learning	—Unverified	0
Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning	Oct 13, 2021	Contrastive LearningFew-Shot Learning	—Unverified	0
False Negative Distillation and Contrastive Learning for Personalized Outfit Recommendation	Oct 13, 2021	Contrastive LearningData Augmentation	—Unverified	0
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning	Oct 13, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation	Oct 13, 2021	Contrastive LearningDepth Estimation	—Unverified	0
OPEn: An Open-ended Physics Environment for Learning Without a Task	Oct 13, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction	Oct 13, 2021	Contrastive LearningDocument Embedding	CodeCode Available	1
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data	Oct 13, 2021	3D Object ClassificationClassification	—Unverified	0
Decoupled Contrastive Learning	Oct 13, 2021	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Contrastive Learning Through Time	Oct 12, 2021	Contrastive LearningRepresentation Learning	—Unverified	0
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation	Oct 12, 2021	Contrastive LearningSequential Recommendation	CodeCode Available	1
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition	Oct 11, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records	Oct 11, 2021	BenchmarkingBinary Classification	CodeCode Available	0
Weakly Supervised Contrastive Learning	Oct 10, 2021	Contrastive LearningRepresentation Learning	CodeCode Available	1
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization	Oct 9, 2021	Anomaly DetectionContrastive Learning	—Unverified	0
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning	Oct 8, 2021	Collaborative InferenceContrastive Learning	CodeCode Available	1
Temperature as Uncertainty in Contrastive Learning	Oct 8, 2021	Contrastive LearningLinear evaluation	CodeCode Available	1
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations	Oct 8, 2021	Contrastive LearningData Augmentation	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