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Multi-Label Classification

multilabel graph classification with highest result

Papers

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Showing 551–600 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
Recurrent Bayesian Classifier Chains for Exact Multi-Label ClassificationCode0
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs—0
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
ML-Decoder: Scalable and Versatile Classification HeadCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
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
Propensity-scored Probabilistic Label TreesCode1
EncT5: A Framework for Fine-tuning T5 as Non-autoregressive ModelsCode1
Knowledge-driven Active LearningCode0
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU ServersCode0
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health RecordsCode0
Transformer-based Dual Relation Graph for Multi-label Image RecognitionCode1
Generative Pre-Trained Transformer for Cardiac Abnormality Detection—0
Tribuo: Machine Learning with Provenance in JavaCode2
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer—0
Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event DetectionCode1
ContractNLI: A Dataset for Document-level Natural Language Inference for ContractsCode1
LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
M3TR: Multi-modal Multi-label Recognition with TransformerCode1
Multi-Label Classification of Chinese Humor Texts Using Hypergraph Attention Networks—0
Incorporating Domain Knowledge into Language Transformers for Multi-Label Classification of Chinese Medical Questions—0
Predicting COVID-19 Patient Shielding: A Comprehensive StudyCode0
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems—0
Contrastively Enforcing Distinctiveness for Multi-Label Classification—0
TailMix: Overcoming the Label Sparsity for Extreme Multi-label Classification—0
Structured Energy Network as a dynamic loss function. Case study. A case study with multi-label Classification—0
Modeling Label Space Interactions in Multi-label Classification using Box EmbeddingsCode1
Can multi-label classification networks know what they don't know?Code1
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning ObjectiveCode1
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization—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