SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 826–850 of 1198 papers

TitleStatusHype
Interval Type-2 Fuzzy Neural Networks for Multi-Label Classification—0
Investigating Active Learning Sampling Strategies for Extreme Multi Label Text Classification—0
Investigating Class-level Difficulty Factors in Multi-label Classification Problems—0
Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models—0
Investigating Self-Supervised Methods for Label-Efficient Learning—0
IRLI: Iterative Re-partitioning for Learning to Index—0
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?—0
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
JobHop: A Large-Scale Dataset of Career Trajectories—0
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification—0
Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog—0
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification—0
JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool—0
ML-KFHE: Multi-label ensemble classification algorithm exploiting sensor fusion properties of the Kalman filter—0
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD—0
kLogNLP: Graph Kernel--based Relational Learning of Natural Language—0
Knowledge Distillation for Mobile Edge Computation Offloading—0
Knowledge-Driven New Drug Recommendation—0
Konwledge-Enabled Diagnosis Assistant Based on Obstetric EMRs and Knowledge Graph—0
Label Attention Network for Temporal Sets Prediction: You Were Looking at a Wrong Self-Attention—0
Label Cluster Chains for Multi-Label Classification—0
Label Disentanglement in Partition-based Extreme Multilabel Classification—0
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation—0
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning—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