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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 301–325 of 1198 papers

TitleStatusHype
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text ClassificationCode1
Copy Recurrent Neural Network Structure Network—0
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation—0
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks—0
sustain.AI: a Recommender System to analyze Sustainability ReportsCode0
Dish detection in food platters: A framework for automated diet logging and nutrition management—0
Minimal Learning Machine for Multi-Label LearningCode0
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical TextCode1
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance—0
Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection—0
Auxiliary Label Embedding for Multi-label Learning with Missing LabelsCode0
Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios—0
Using Language Models on Low-end Hardware—0
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel ClassificationCode1
Extreme Classification for Answer Type Prediction in Question Answering—0
Geometric Relational Embeddings: A Survey—0
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels—0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification—0
Evaluation of ChatGPT Model for Vulnerability Detection—0
How you feelin'? Learning Emotions and Mental States in Movie ScenesCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts—0
Multi-label classification of open-ended questions with BERT—0
Bridging the Gap between Model Explanations in Partially Annotated Multi-label ClassificationCode1
Towards Integration of Discriminability and Robustness for Document-Level Relation ExtractionCode0
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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