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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 151–175 of 1198 papers

TitleStatusHype
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
Are We Really Making Much Progress in Text Classification? A Comparative ReviewCode1
Hierarchical Multi-Label Classification of Scientific DocumentsCode1
Hierarchical Verbalizer for Few-Shot Hierarchical Text ClassificationCode1
How you feelin'? Learning Emotions and Mental States in Movie ScenesCode1
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text ClassificationCode1
Can multi-label classification networks know what they don’t know?Code1
Can multi-label classification networks know what they don't know?Code1
Conditional Generation Net for Medication RecommendationCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised LearningCode1
Instances and Labels: Hierarchy-aware Joint Supervised Contrastive Learning for Hierarchical Multi-Label Text ClassificationCode1
Interpretable Enzyme Function Prediction via Residue-Level DetectionCode1
Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label ClassificationCode1
LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster ImageryCode1
Language-Guided Transformer for Federated Multi-Label ClassificationCode1
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID VaccinesCode1
VALUED -- Vision and Logical Understanding Evaluation DatasetCode1
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and InterpretationCode1
Learning Features of Music from ScratchCode1
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical TextCode1
Learning to Build User-tag Profile in Recommendation System (UTPM)Code1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Bridging the Gap between Model Explanations in Partially Annotated Multi-label ClassificationCode1
Densely Connected Convolutional NetworksCode1
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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