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Multi-label text classification (MLTC) aims to annotate documents with the most relevant labels from a number of candidate labels.
Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification
Huang, X.; Chen, B.; Xiao, L.; and Jing, L. 2019 · 1905
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SMOTE: synthetic minority over-sampling technique
Chawla, N. V.; Bowyer, K. W.; Hall, L. O.; and Kegelmeyer, W. P. 2002 · 2002
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Interaction Matching for Long-Tail Multi-Label Classification
MacAvaney, S.; Dernoncourt, F.; Chang, W.; Goharian, N.; and Frieder, O. 2020 · 2005
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SenticNet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis
Cambria, E.; Olsher, D.; and Rajagopal, D. 2014 · 2014
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Large-scale multi-label text classification-revisiting neural networks
Nam, J.; Kim, J.; Mencía, E. L.; Gurevych, I.; and Fürnkranz, J. 2014 · 2014
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Glove: Global vectors for word representation
Pennington, J.; Socher, R.; and Manning, C. 2014 · 2014
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Ask me anything: Dynamic memory networks for natural language processing
Kumar, A.; Irsoy, O.; Ondruska, P.; Iyyer, M.; Bradbury, J.; Gulrajani, I.; Zhong, V.; Paulus, R.; and Socher, R. 2016 · 2016
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Improved neural network-based multi-label classification with better initialization leveraging label co-occurrence
Kurata, G.; Xiang, B.; and Zhou, B. 2016 · 2016
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Hierarchical attention networks for document classification
Yang, Z.; Yang, D.; Dyer, C.; He, X.; Smola, A.; and Hovy, E. 2016 · 2016
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Text classification improved by integrating bidirectional LSTM with two-dimensional max pooling
Zhou, P.; Qi, Z.; Zheng, S.; Xu, J.; Bao, H.; and Xu, B. 2016 · 2016
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Low-shot visual recognition by shrinking and hallucinating features
Hariharan, B.; and Girshick, R. 2017 · 2017
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Deep learning for extreme multi-label text classification
Liu, J.; Chang, W.-C.; Wu, Y.; and Yang, Y. 2017 · 2017
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Prototypical networks for few-shot learning
Snell, J.; Swersky, K.; and Zemel, R. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Learning to model the tail
Wang, Y.-X.; Ramanan, D.; and Hebert, M. 2017 · 2017
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A hierarchical structured self-attentive model for extractive document summarization (HSSAS)
Al-Sabahi, K.; Zuping, Z.; and Nadher, M. 2018 · 2018
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A systematic study of the class imbalance problem in convolutional neural networks
Buda, M.; Maki, A.; and Mazurowski, M. A. 2018 · 2018
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What is the effect of importance weighting in deep learning?
Byrd, J.; and Lipton, Z. 2019 · 2019
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Learning imbalanced datasets with label-distribution-aware margin loss
Cao, K.; Wei, C.; Gaidon, A.; Arechiga, N.; and Ma, T. 2019 · 2019
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Class-balanced loss based on effective number of samples
Cui, Y.; Jia, M.; Lin, T.-Y.; Song, Y.; and Belongie, S. 2019 · 2019
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Explicit interaction model towards text classification
Du, C.; Chen, Z.; Feng, F.; Zhu, L.; Gan, T.; and Nie, L. 2019 · 2019
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Decoupling Representation and Classifier for Long-Tailed Recognition
Kang, B.; Xie, S.; Rohrbach, M.; Yan, Z.; Gordo, A.; Feng, J.; and Kalantidis, Y. 2019 · 2019
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Large-scale long-tailed recognition in an open world
Liu, Z.; Miao, Z.; Zhan, X.; Wang, J.; Gong, B.; and Yu, S. X. 2019 · 2019
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Dynamic few-shot visual learning without forgetting
Gidaris, S.; and Komodakis, N. 2018 · 2018
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Low-shot learning with imprinted weights
Qi, H.; Brown, M.; and Lowe, D. G. 2018 · 2018
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Deep semantic role labeling with self-attention
Tan, Z.; Wang, M.; Xie, J.; Chen, Y.; and Shi, X. 2018 · 2018
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You, R.; Dai, S.; Zhang, Z.; Mamitsuka, H.; and Zhu, S. 2018 · 2018
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Deep extreme multi-label learning
Zhang, W.; Yan, J.; Wang, X.; and Zha, H. 2018 · 2018
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Gile: A generalized input-label embedding for text classification
Pappas, N.; and Henderson, J. 2019 · 2019
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Does Tail Label Help for Large-Scale Multi-Label Learning?
Wei, T.; and Li, Y.-F. 2019 · 2019
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Label-specific document representation for multi-label text classification
Xiao, L.; Huang, X.; Chen, B.; and Jing, L. 2019 · 2019
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Long Tail Multi-label Learning
Yuan, M.; Xu, J.; and Li, Z. 2019 · 2019
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BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Zhou, B.; Cui, Q.; Wei, X.-S.; and Chen, Z.-M. 2020 · 2020
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