SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 651–675 of 1198 papers

TitleStatusHype
Relevant Emotion Ranking from Text Constrained with Emotion Relationships—0
Reliable Multi-label Classification: Prediction with Partial Abstention—0
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning—0
An Effective Deployment of Contrastive Learning in Multi-label Text Classification—0
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling—0
Residual Networks based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment—0
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization—0
Retrieval-augmented Encoders for Extreme Multi-label Text Classification—0
Retro-Rank-In: A Ranking-Based Approach for Inorganic Materials Synthesis Planning—0
RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray Classification—0
Reverse Multi-Label Learning—0
Review of Extreme Multilabel Classification—0
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity—0
Robust Domain Generalization for Multi-modal Object Recognition—0
Robust Multi-Output Learning with Highly Incomplete Data via Restricted Boltzmann Machines—0
Robustness Certificates Against Adversarial Examples for ReLU Networks—0
RotoGrad: Gradient Homogenization in Multi-Task Learning—0
Saliency-based Weighted Multi-label Linear Discriminant Analysis—0
Saliency Regularization for Self-Training with Partial Annotations—0
SAP-RI: A Constrained and Supervised Approach for Aspect-Based Sentiment Analysis—0
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises—0
Scaling Native Language Identification with Transformer Adapters—0
ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition—0
Scoring and Classifying with Gated Auto-encoders—0
SeCSeq: Semantic Coding for Sequence-to-Sequence based Extreme Multi-label Classification—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