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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 776–800 of 1198 papers

TitleStatusHype
Emoji Prediction: Extensions and BenchmarkingCode1
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks—0
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit ModelCode1
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image RecognitionCode1
A Novel BGCapsule Network for Text Classification—0
Unbiased Loss Functions for Extreme Classification With Missing Labels—0
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold MixupCode1
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing—0
Hyperbolic Capsule Networks for Multi-Label Classification—0
BERTERS: Multimodal Representation Learning for Expert Recommendation System with Transformer—0
Learning Gradient Boosted Multi-label Classification RulesCode1
Approaches For Multi-View Redescription Mining—0
An Integer Linear Programming Framework for Mining Constraints from DataCode0
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier ChainsCode0
Online Metric Learning for Multi-Label Classification—0
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model—0
Modeling Label Semantics for Predicting Emotional ReactionsCode1
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers—0
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray ImagesCode1
A multimodal approach for multi-label movie genre classification—0
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a NonlinearityCode0
Minimizing Supervision in Multi-label Categorization—0
Classification and Clustering of arXiv Documents, Sections, and Abstracts, Comparing Encodings of Natural and Mathematical Language—0
Interaction Matching for Long-Tail Multi-Label Classification—0
A Robust Experimental Evaluation of Automated Multi-Label Classification MethodsCode0
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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