SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 476–500 of 1198 papers

TitleStatusHype
Generative Pre-Trained Transformer for Cardiac Abnormality Detection—0
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition—0
Conditional Graphical Lasso for Multi-Label Image Classification—0
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides—0
Differentiable Forward and Backward Fixed-Point Iteration Layers—0
An Ensemble Learning Based Approach to Multi-label Power Text Classification for Fault-type Recognition—0
Hoeffding adaptive trees for multi-label classification on data streams—0
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade—0
Dialogue-Based Simulation For Cultural Awareness Training—0
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction—0
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model—0
An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy—0
Gradient tree boosting with random output projections for multi-label classification and multi-output regression—0
GraftNet: An Engineering Implementation of CNN for Fine-grained Multi-label Task—0
Grammatical Error Detection and Correction using a Single Maximum Entropy Model—0
Content Explorer: Recommending Novel Entities for a Document Writer—0
Diabetic Retinopathy Grading System Based on Transfer Learning—0
Determined Multi-Label Learning via Similarity-Based Prompt—0
Graph-Ensemble Learning Model for Multi-label Skin Lesion Classification using Dermoscopy and Clinical Images—0
Basic and Depression Specific Emotion Identification in Tweets: Multi-label Classification Experiments—0
Contextual Memory Trees—0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification—0
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection—0
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders—0
Detecting mentions of pain and acute confusion in Finnish clinical text—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-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
9DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified