Keyword

label dependencies

Description: Relationships among target labels in multi-label learning that capture how the occurrence or value of one label is associated with others.

Primary topic: Text and Document Classification Technologies (47%)

OpenAlex ID: keywords/label-dependencies

Multi-Label Image Recognition With Graph Convolutional Networks

2019 · Zhao-Min Chen, Xiu-Shen Wei, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,335

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CNN-RNN: A Unified Framework for Multi-label Image Classification

2016 · Jiang Wang, Yi Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,281

Recent Advances on Spectral–Spatial Hyperspectral Image Classification: An Overview and New Guidelines

2017 · Lin He, Jun Li, et al. · IEEE Transactions on Geoscience and Remote Sensing · 628

Classifier Chains for Multi-label Classification

2009 · Jesse Read, Bernhard Pfahringer, et al. · Lecture notes in computer science · 607

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Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling

2005 · Rada Mihalcea · 540

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Collective multi-label classification

2005 · Nadia Ghamrawi, Andrew McCallum · ACM International Conference on Information and Knowledge Management (CIKM) · 440

Multi-label learning by exploiting label dependency

2010 · Min-Ling Zhang, Kun Zhang · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 419

The Emerging Trends of Multi-Label Learning

2021 · Weiwei Liu, Haobo Wang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 406

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On label dependence and loss minimization in multi-label classification

2012 · Krzysztof Dembczyński, Willem Waegeman, et al. · Machine Learning · 300

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Learning to diagnose from scratch by exploiting dependencies among labels

2017 · Yao, Li, Poblenz, Eric, et al. · arXiv (Cornell University) · 289

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Large-Scale Multi-label Text Classification — Revisiting Neural Networks

2014 · Jinseok Nam, Jungi Kim, et al. · Lecture notes in computer science · 268

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Learning Deep Latent Space for Multi-Label Classification

2017 · Chih-Kuan Yeh, Wei-Chieh Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 246

Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition

2020 · Jin Ye, Junjun He, et al. · Lecture notes in computer science · 244

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Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

2020 · Yi Yang, Arzoo Katiyar · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 217

Multi-labelled classification using maximum entropy method

2005 · Shenghuo Zhu, Xiang Ji, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 208

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

2016 · Pankaj Gupta, Hinrich Schütze, et al. · International Conference on Computational Linguistics · 207

Multilabel Image Classification With Regional Latent Semantic Dependencies

2018 · Junjie Zhang, Qi Wu, et al. · IEEE Transactions on Multimedia · 203

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Hierarchy-Aware Global Model for Hierarchical Text Classification

2020 · Jie Zhou, Chunping Ma, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 202

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Large-Scale Multi-label Text Classification - Revisiting Neural Networks

2013 · Nam, Jinseok, Kim, Jungi, et al. · 200

Graph-based semi-supervised learning: A review

2020 · Yanwen Chong, Yun Ding, et al. · Neurocomputing · 194

CNN-RNN: A Unified Framework for Multi-label Image Classification

2016 · Wang, Jiang, Yang, Yi, et al. · arXiv (Cornell University) · 194

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Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition

2020 · Tianshui Chen, Liang Lin, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 193

Bi-LSTM-CRF Sequence Labeling for Keyphrase Extraction from Scholarly Documents

2019 · Rabah Alzaidy, Cornelia Caragea, et al. · 174

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction

2019 · Dehong Ma, Sujian Li, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 171

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Granular multi-label feature selection based on mutual information

2017 · Feng Li, Duoqian Miao, et al. · Pattern Recognition · 167

Works count: 626

Citation count: 17,360