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 5026–5050 of 6661 papers

Title	Date	Tasks	Status	Hype
A Robust Contrastive Alignment Method For Multi-Domain Text Classification	Apr 26, 2022	ClassificationContrastive Learning	—Unverified	0
Hypergraph Contrastive Collaborative Filtering	Apr 26, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	1
Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representation	Apr 26, 2022	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1
Sound Localization by Self-Supervised Time Delay Estimation	Apr 26, 2022	Contrastive LearningVisual Tracking	CodeCode Available	0
Contrastive Language-Action Pre-training for Temporal Localization	Apr 26, 2022	Action LocalizationContrastive Learning	—Unverified	0
Contrastive Learning for Knowledge Tracing	Apr 25, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Contrastive learning-based computational histopathology predict differential expression of cancer driver genes	Apr 25, 2022	Contrastive Learningwhole slide images	CodeCode Available	0
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning	Apr 25, 2022	Contrastive LearningGraph Attention	—Unverified	0
Masked Image Modeling Advances 3D Medical Image Analysis	Apr 25, 2022	Contrastive LearningDecoder	—Unverified	0
Task-Induced Representation Learning	Apr 25, 2022	Contrastive LearningDecision Making	—Unverified	0
Tac2Pose: Tactile Object Pose Estimation from the First Touch	Apr 25, 2022	Contrastive LearningObject	—Unverified	0
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping	Apr 24, 2022	Contrastive LearningRepresentation Learning	—Unverified	0
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation	Apr 23, 2022	Contrastive LearningImage-to-Image Translation	—Unverified	0
Federated Contrastive Learning for Volumetric Medical Image Segmentation	Apr 23, 2022	Contrastive LearningFederated Learning	—Unverified	0
MCSE: Multimodal Contrastive Learning of Sentence Embeddings	Apr 22, 2022	Contrastive LearningSemantic Textual Similarity	CodeCode Available	1
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction	Apr 22, 2022	Contrastive LearningDecoder	CodeCode Available	1
Universum-inspired Supervised Contrastive Learning	Apr 22, 2022	Contrastive LearningData Augmentation	CodeCode Available	0
3D pride without 2D prejudice: Bias-controlled multi-level generative models for structure-based ligand design	Apr 22, 2022	Contrastive LearningDrug Discovery	—Unverified	0
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map	Apr 21, 2022	Contrastive LearningRepresentation Learning	CodeCode Available	1
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings	Apr 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	2
Contrastive Test-Time Adaptation	Apr 21, 2022	Contrastive LearningDomain Adaptation	CodeCode Available	1
Making the Most of Text Semantics to Improve Biomedical Vision--Language Processing	Apr 21, 2022	Contrastive LearningLanguage Modeling	CodeCode Available	0
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information	Apr 21, 2022	Contrastive LearningMultiple Instance Learning	—Unverified	0
SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification	Apr 21, 2022	Contrastive LearningPerson Re-Identification	CodeCode Available	1
Adversarial Contrastive Learning by Permuting Cluster Assignments	Apr 21, 2022	Computational EfficiencyContrastive Learning	—Unverified	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