SOTAVerified

Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 551–575 of 1198 papers

TitleStatusHype
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification—0
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset—0
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification—0
TransFA: Transformer-based Representation for Face Attribute EvaluationCode0
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering—0
Multi-Label Retinal Disease Classification using TransformersCode0
Local Multi-Label Explanations for Random ForestCode0
Discriminatory Label-specific Weights for Multi-label Learning with Missing LabelsCode0
McRock at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Multi-Channel CNN, Hybrid LSTM, DistilBERT and XLNetCode0
GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection—0
UMUTeam at SemEval-2022 Task 6: Evaluating Transformers for detecting Sarcasm in English and Arabic—0
ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification—0
ASRtrans at SemEval-2022 Task 4: Ensemble of Tuned Transformer-based Models for PCL Detection—0
SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
Felix&Julia at SemEval-2022 Task 4: Patronizing and Condescending Language Detection—0
Psychotherapy is Not One Thing: Simultaneous Modeling of Different Therapeutic Approaches—0
Tesla at SemEval-2022 Task 4: Patronizing and Condescending Language Detection using Transformer-based Models with Data Augmentation—0
YNU-HPCC at SemEval-2022 Task 4: Finetuning Pretrained Language Models for Patronizing and Condescending Language Detection—0
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning—0
SSN_NLP_MLRG at SemEval-2022 Task 4: Ensemble Learning strategies to detect Patronizing and Condescending Language—0
PAIC at SemEval-2022 Task 5: Multi-Modal Misogynous Detection in MEMES with Multi-Task Learning And Multi-model Fusion—0
QiNiAn at SemEval-2022 Task 5: Multi-Modal Misogyny Detection and Classification—0
The "AI+R"-tree: An Instance-optimized R-tree—0
I2C at SemEval-2022 Task 6: Intended Sarcasm in English using Deep Learning Techniques—0
Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores—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