SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 1176–1198 of 1198 papers

TitleStatusHype
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring—0
Matrix Co-completion for Multi-label Classification with Missing Features and Labels—0
Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification—0
Maximum Margin Multi-Label Structured Prediction—0
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models—0
Medical Report Generation Is A Multi-label Classification Problem—0
Mental Health Diagnosis in the Digital Age: Harnessing Sentiment Analysis on Social Media Platforms upon Ultra-Sparse Feature Content—0
Meta-Learning for Multi-Label Few-Shot Classification—0
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification—0
Minimal spiking neuron for solving multi-label classification tasks—0
Minimizing Supervision in Multi-label Categorization—0
Mining Supervisor Evaluation and Peer Feedback in Performance Appraisals—0
MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification—0
Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation—0
MUDAS: Mote-scale Unsupervised Domain Adaptation in Multi-label Sound Classification—0
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling—0
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning—0
Multi-Label Adversarial Perturbations—0
Multi-label Classification for Automatic Tag Prediction in the Context of Programming Challenges—0
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations—0
Multi-label Classification for Fault Diagnosis of Rotating Electrical Machines—0
Multi-Label Classification for Implicit Discourse Relation Recognition—0
Multi-Label Classification Method Based on Extreme Learning Machines—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