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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 501–525 of 1198 papers

TitleStatusHype
Convex Calibrated Surrogates for the Multi-Label F-Measure—0
Heuristic Vision Pre-Training with Self-Supervised and Supervised Multi-Task Learning—0
Detecting mentions of pain and acute confusion in Finnish clinical text—0
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing—0
Detecting anxiety and depression in dialogues: a multi-label and explainable approach—0
BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla—0
Hierarchical Classification of Financial Transactions Through Context-Fusion of Transformer-based Embeddings and Taxonomy-aware Attention Layer—0
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization—0
Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation—0
Hierarchical MixUp Multi-label Classification with Imbalanced Interdisciplinary Research Proposals—0
Description Based Text Classification with Reinforcement Learning—0
An empirical study on large scale text classification with skip-gram embeddings—0
Active Testing: An Efficient and Robust Framework for Estimating Accuracy—0
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting—0
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
Imposing Hard Logical Constraints on Multi-label Classification Neural Networks—0
Improved Multi-label Classification with Frequent Label-set Mining and Association—0
Improving Neural-based Classification with Logical Background Knowledge—0
Auxiliary Task Reweighting for Minimum-data Learning—0
Deep tree-ensembles for multi-output prediction—0
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer—0
以深層類神經網路標記中文階層式多標籤語意概念 (Hierarchical Multi-Label Chinese Word Semantic Labeling using Deep Neural Network ) [In Chinese]—0
Imbalanced Multi-label Classification for Business-related Text with Moderately Large Label Spaces—0
Deep Networks for Direction-of-Arrival Estimation in Low SNR—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