SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 201–225 of 1198 papers

TitleStatusHype
A Capsule Network for Hierarchical Multi-Label Image Classification—0
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English—0
Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting—0
A Deep-Discrete Learning Framework for Spherical Surface Registration—0
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification—0
ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection—0
A Mixtures-of-Experts Framework for Multi-Label Classification—0
Acoustic identification of individual animals with hierarchical contrastive learning—0
Aspect category learning and sentimental analysis using weakly supervised learning—0
A Simpler Alternative to Variational Regularized Counterfactual Risk Minimization—0
A Similarity-Based Oversampling Method for Multi-label Imbalanced Text Data—0
Collaborative residual learners for automatic icd10 prediction using prescribed medications—0
A Method for Handling Multi-class Imbalanced Data by Geometry based Information Sampling and Class Prioritized Synthetic Data Generation (GICaPS)—0
Cost-constrained multi-label group feature selection using shadow features—0
Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies—0
Collaborative Filtering and Multi-Label Classification with Matrix Factorization—0
All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)—0
A Self-consistent-field Iteration for Orthogonal Canonical Correlation Analysis—0
Deep Dependency Networks for Multi-Label Classification—0
CNO-LSTM: A Chaotic Neural Oscillatory Long Short-Term Memory Model for Text Classification—0
Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion—0
A Sequential Set Generation Method for Predicting Set-Valued Outputs—0
A Scalable Multilabel Classification to Deploy Deep Learning Architectures For Edge Devices—0
Academic Resource Text Level Multi-label Classification based on Attention—0
Deep Dependency Networks and Advanced Inference Schemes 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