SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 626–650 of 1198 papers

TitleStatusHype
Semantic segmentation on multi-resolution optical and microwave data using deep learning—0
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures—0
SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
Semidefinite and Spectral Relaxations for Multi-Label Classification—0
Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification—0
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean—0
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification—0
Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification—0
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification—0
SENSE: Semantically Enhanced Node Sequence Embedding—0
Sentence-level Emotion Classification with Label and Context Dependence—0
SentiNLP at IJCNLP-2017 Task 4: Customer Feedback Analysis Using a Bi-LSTM-CNN Model—0
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation—0
Sequence-to-Set Semantic Tagging: End-to-End Multi-label Prediction using Neural Attention for Complex Query Reformulation and Automated Text Categorization—0
Sexual predator detection in chats with chained classifiers—0
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification—0
Similarity-based Multi-label Learning—0
Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning—0
Simultaneous Identification of Tweet Purpose and Position—0
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis—0
SKILLBERT: “SKILLING” THE BERT TO CLASSIFY SKILLS!—0
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry—0
SOLAR: Sparse Orthogonal Learned and Random Embeddings—0
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness—0
Sound source detection, localization and classification using consecutive ensemble of CRNN models—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-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