SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 726–750 of 1198 papers

TitleStatusHype
NLP-PINGAN-TECH @ CL-SciSumm 2020—0
Comparison of Machine Learning Methods for Multi-label Classification of Nursing Education and Licensure Exam Questions—0
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures—0
Efficient Robust Optimal Transport with Application to Multi-Label ClassificationCode0
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
Interpretable Deep Learning for Automatic Diagnosis of 12-lead ElectrocardiogramCode1
Learning to Build User-tag Profile in Recommendation System (UTPM)Code1
Auxiliary Task Reweighting for Minimum-data Learning—0
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label GraphsCode1
A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS)—0
Few-shot Learning for Multi-label Intent Detection—0
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual AnalysisCode1
Multi-label classification of promotions in digital leaflets using textual and visual information—0
A Fully Hyperbolic Neural Model for Hierarchical Multi-Class ClassificationCode1
Orthogonal Multi-view Analysis by Successive Approximations via Eigenvectors—0
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
Konwledge-Enabled Diagnosis Assistant Based on Obstetric EMRs and Knowledge Graph—0
A Large Multi-Target Dataset of Common Bengali Handwritten GraphemesCode1
Asymmetric Loss For Multi-Label ClassificationCode1
Learning from eXtreme Bandit Feedback—0
Probabilistic Label Trees for Extreme Multi-label ClassificationCode1
On Data Augmentation for Extreme Multi-label Classification—0
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue SystemsCode0
Compact Learning for 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-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