SOTAVerified

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
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image RecognitionCode1
Large-Scale Product Retrieval with Weakly Supervised Representation LearningCode1
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold MixupCode1
GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes PredictionCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
Learning Gradient Boosted Multi-label Classification RulesCode1
BCAmirs at SemEval-2024 Task 4: Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in MemesCode1
Densely Connected Convolutional NetworksCode1
Can multi-label classification networks know what they don't know?Code1
Deep Label Distribution Learning with Label AmbiguityCode1
Prompt Tuned Embedding Classification for Multi-Label Industry Sector AllocationCode1
Efficient and Scalable Estimation of Tool Representations in Vector SpaceCode1
Deep Smart Contract Intent DetectionCode1
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQACode1
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit ModelCode1
Mixture of Mixups for Multi-label Classification of Rare Anuran SoundsCode1
Graph Attention Transformer Network for Multi-Label Image ClassificationCode1
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label ClassificationCode1
An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical TextCode1
MlTr: Multi-label Classification with TransformerCode1
Modeling Label Space Interactions in Multi-label Classification using Box EmbeddingsCode1
Bridging the Gap between Model Explanations in Partially Annotated Multi-label ClassificationCode1
Enzyme promiscuity prediction using hierarchy-informed multi-label classificationCode1
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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-V0 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
6Conditional-Training-LSR-V1AVERAGE AUC ON 14 LABEL0.93—Unverified
7Hierarchical-Learning-V4 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
8YWW(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
9Multi-Stage-Learning-CNN-V3 (ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified
10DeepCNNsGM(ensemble)AVERAGE AUC ON 14 LABEL0.93—Unverified