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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 126–150 of 1198 papers

TitleStatusHype
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning ObjectiveCode1
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context PoolingCode1
Combining Metric Learning and Attention Heads For Accurate and Efficient Multilabel Image ClassificationCode1
Contextual Debiasing for Visual Recognition With Causal MechanismsCode1
Coherent Hierarchical Multi-Label Classification NetworksCode1
Co-attention network with label embedding for text classificationCode1
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual RecognitionCode1
ContractNLI: A Dataset for Document-level Natural Language Inference for ContractsCode1
Conditional Generation Net for Medication RecommendationCode1
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold MixupCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image RecognitionCode1
Deep Label Distribution Learning with Label AmbiguityCode1
Densely Connected Convolutional NetworksCode1
DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label ClassificationCode1
Class-Incremental Lifelong Learning in Multi-Label ClassificationCode1
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed DatasetsCode1
Efficient and Scalable Estimation of Tool Representations in Vector SpaceCode1
Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many ClassesCode1
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
ELIAS: End-to-End Learning to Index and Search in Large Output SpacesCode1
ESC: Redesigning WSD with Extractive Sense ComprehensionCode1
Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social MediaCode1
Are We Really Making Much Progress in Text Classification? A Comparative ReviewCode1
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID VaccinesCode1
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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