SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 526–550 of 1198 papers

TitleStatusHype
Co-occurring Diseases Heavily Influence the Performance of Weakly Supervised Learning Models for Classification of Chest CT—0
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMFCode1
PENCIL: Deep Learning with Noisy Labels—0
P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization—0
Conditional Generation Net for Medication RecommendationCode1
Multi-relation Message Passing for Multi-label Text ClassificationCode0
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest RadiographsCode0
Implicit Concept Drift Detection for Multi-label Data Streams—0
Polyphonic audio event detection: multi-label or multi-class multi-task classification problem?—0
Distantly supervised end-to-end medical entity extraction from electronic health records with human-level quality—0
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019—0
Writing Style Aware Document-level Event Extraction—0
MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing dataCode1
Multi-Label Classification on Remote-Sensing Images—0
Contextual Debiasing for Visual Recognition With Causal MechanismsCode1
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD—0
Predicting Job Titles from Job Descriptions with Multi-label Text ClassificationCode0
Tree-Based Dynamic Classifier ChainsCode0
Visual Transformers with Primal Object Queries for Multi-Label Image ClassificationCode1
"What can I cook with these ingredients?" -- Understanding cooking-related information needs in conversational searchCode0
On the Use of Unrealistic Predictions in Hundreds of Papers Evaluating Graph Representations—0
An Effective GCN-based Hierarchical Multi-label classification for Protein Function Prediction—0
Adaptive label thresholding methods for online multi-label classification—0
Improving Predictions of Tail-end Labels using Concatenated BioMed-Transformers for Long Medical DocumentsCode0
Gaussian Mixture Variational Autoencoder with Contrastive Learning for 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-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