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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 601–625 of 1198 papers

TitleStatusHype
Integrating Unsupervised Clustering and Label-specific Oversampling to Tackle Imbalanced Multi-label Data—0
Unbiased Loss Functions for Multilabel Classification with Missing Labels—0
Improved Multi-label Classification with Frequent Label-set Mining and Association—0
Overview of Tencent Multi-modal Ads Video Understanding Challenge—0
Jointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian ReviewsCode0
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification—0
Multi-label Classification of Aircraft Heading Changes Using Neural Network to Resolve Conflicts—0
Learning with Holographic Reduced RepresentationsCode1
LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training—0
Fast Multi-label Learning—0
Sparse Array Capon Beamformer Design Availing Deep Learning—0
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean—0
Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes—0
AIMH at SemEval-2021 Task 6: Multimodal Classification Using an Ensemble of Transformer ModelsCode0
NLyticsFKIE at SemEval-2021 Task 6: Detection of Persuasion Techniques In Texts And Images—0
CSECU-DSG at SemEval-2021 Task 6: Orchestrating Multimodal Neural Architectures for Identifying Persuasion Techniques in Texts and Images—0
YNU-HPCC at SemEval-2021 Task 11: Using a BERT Model to Extract Contributions from NLP Scholarly Articles—0
DECAF: Deep Extreme Classification with Label FeaturesCode1
ECLARE: Extreme Classification with Label Graph CorrelationsCode1
Multi-Label Image Classification with Contrastive Learning—0
Query2Label: A Simple Transformer Way to Multi-Label ClassificationCode1
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification—0
Understanding Gender and Racial Disparities in Image Recognition Models—0
Using Language Models on Low-end Hardware—0
Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks—0
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All datasetsCheXpertMS-COCOPASCAL VOC 2007NUS-WIDEChestX-ray14OpenImages-v6PASCAL VOC 2012MLRSNetMRNetMIMIC-CXR

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CFT (ensemble) Macao Polytechnic UniversityAVERAGE AUC ON 14 LABEL0.93—Unverified
2Hierarchical-Learning-V1 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
3DeepAUC-v1AVERAGE AUC ON 14 LABEL0.93—Unverified
4Conditional-Training-LSRAVERAGE AUC ON 14 LABEL0.93—Unverified
5Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
9Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified