SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 301–325 of 1198 papers

TitleStatusHype
Enhancing Hyperspectral Image Prediction with Contrastive Learning in Low-Label Regime—0
A Novel Online Real-time Classifier for Multi-label Data Streams—0
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification—0
Energy-based Out-of-distribution Detection for Multi-label Classification—0
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs—0
A novel online multi-label classifier for high-speed streaming data applications—0
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning—0
Enhancing ECG Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification—0
Enhancing Medical Specialty Assignment to Patients using NLP Techniques—0
A Novel BGCapsule Network for Text Classification—0
Can Masked Autoencoders Also Listen to Birds?—0
Can Large Language Models Serve as Effective Classifiers for Hierarchical Multi-Label Classification of Scientific Documents at Industrial Scale?—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
End-to-End Speaker Diarization as Post-Processing—0
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers—0
Understanding Behavior of Clinical Models under Domain Shifts—0
An Online Universal Classifier for Binary, Multi-class and Multi-label Classification—0
BUTknot at SemEval-2016 Task 5: Supervised Machine Learning with Term Substitution Approach in Aspect Category Detection—0
bunji at SemEval-2016 Task 5: Neural and Syntactic Models of Entity-Attribute Relationship for Aspect-based Sentiment Analysis—0
End-to-End Neural Speaker Diarization with Permutation-Free Objectives—0
Ensemble Detection of Single & Multiple Events at Sentence-Level—0
Breaking the Token Barrier: Chunking and Convolution for Efficient Long Text Classification with BERT—0
A Flexible Class of Dependence-aware Multi-Label Loss Functions—0
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification—0
Endoscopy Classification Model Using Swin Transformer and Saliency Map—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