SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 551–575 of 1198 papers

TitleStatusHype
ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021—0
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis—0
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning—0
Multi-Label Learning with Pairwise Relevance Ordering—0
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs—0
Recurrent Bayesian Classifier Chains for Exact Multi-Label ClassificationCode0
Speaker Embedding-aware Neural Diarization for Flexible Number of Speakers with Textual InformationCode0
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNsCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
ML-Decoder: Scalable and Versatile Classification HeadCode1
Hierarchical Text Classification As Sub-Hierarchy Sequence Generation—0
Imposing Hard Logical Constraints on Multi-label Classification Neural Networks—0
A transformer-based model for default prediction in mid-cap corporate markets—0
Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis—0
Improved Multi-label Classification under Temporal Concept Drift: Rethinking Group-Robust Algorithms in a Label-Wise Setting—0
Evaluating Extreme Hierarchical Multi-label Classification—0
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides—0
Do we still need ImageNet pre-training in remote sensing scene classification?Code1
Co-attention network with label embedding for text classificationCode1
Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification—0
Unsupervised Paraphrasing Consistency Training for Low Resource Named Entity Recognition—0
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood PredictionCode0
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry—0
Meta-Learning for Multi-Label Few-Shot Classification—0
Multi-label Classification with Partial Annotations using Class-aware Selective LossCode1
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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