SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 826–850 of 1198 papers

TitleStatusHype
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
Minimal spiking neuron for solving multi-label classification tasks—0
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels—0
End-to-End Neural Diarization: Reformulating Speaker Diarization as Simple Multi-label ClassificationCode1
Optimistic bounds for multi-output prediction—0
Enzyme promiscuity prediction using hierarchy-informed multi-label classificationCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Understanding patient complaint characteristics using contextual clinical BERT embeddings—0
Description Based Text Classification with Reinforcement Learning—0
Differentiable Forward and Backward Fixed-Point Iteration Layers—0
Multi-label Relation Modeling in Facial Action Units Detection—0
Dialogue-Based Simulation For Cultural Awareness Training—0
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning—0
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding—0
ExEm: Expert Embedding using dominating set theory with deep learning approachesCode0
Optimistic bounds for multi-output learning—0
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling—0
Split Learning for collaborative deep learning in healthcareCode1
Multi-Label Graph Convolutional Network Representation Learning—0
Classifier Chains: A Review and Perspectives—0
Simultaneous Identification of Tweet Purpose and Position—0
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines—0
A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
On-the-fly Global Embeddings Using Random Projections for Extreme Multi-label Classification—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