暂无分享,去创建一个
Wei Wu | Xu Sun | Houfeng Wang | Wei Li | Shuming Ma | Pengcheng Yang | Xu Sun | Shuming Ma | Houfeng Wang | Wei Wu | Pengcheng Yang | Wei Li
[1] Eyke Hüllermeier,et al. Multilabel classification via calibrated label ranking , 2008, Machine Learning.
[2] Christopher D. Manning,et al. Effective Approaches to Attention-based Neural Machine Translation , 2015, EMNLP.
[3] Jiebo Luo,et al. Learning multi-label scene classification , 2004, Pattern Recognit..
[4] Zhenchang Xing,et al. Ensemble application of convolutional and recurrent neural networks for multi-label text categorization , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[5] Grigorios Tsoumakas,et al. Multi-Label Classification: An Overview , 2007, Int. J. Data Warehous. Min..
[6] Jürgen Schmidhuber,et al. Highway Networks , 2015, ArXiv.
[7] Andrew McCallum,et al. Collective multi-label classification , 2005, CIKM '05.
[8] Amanda Clare,et al. Knowledge Discovery in Multi-label Phenotype Data , 2001, PKDD.
[9] Ye Zhang,et al. A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification , 2015, IJCNLP.
[10] Geoff Holmes,et al. Classifier chains for multi-label classification , 2009, Machine Learning.
[11] Yoram Singer,et al. BoosTexter: A Boosting-based System for Text Categorization , 2000, Machine Learning.
[12] Piotr Szymanski,et al. A scikit-based Python environment for performing multi-label classification , 2017, ArXiv.
[13] Grigorios Tsoumakas,et al. Multilabel Text Classification for Automated Tag Suggestion , 2008 .
[14] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[15] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[16] Grigorios Tsoumakas,et al. Random K-labelsets for Multilabel Classification , 2022 .
[17] Christopher D. Manning,et al. Introduction to Information Retrieval , 2010, J. Assoc. Inf. Sci. Technol..
[18] Bowen Zhou,et al. Improved Neural Network-based Multi-label Classification with Better Initialization Leveraging Label Co-occurrence , 2016, NAACL.
[19] Alexander M. Rush,et al. Sequence-to-Sequence Learning as Beam-Search Optimization , 2016, EMNLP.
[20] Zhi-Hua Zhou,et al. Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization , 2006, IEEE Transactions on Knowledge and Data Engineering.
[21] Houfeng Wang,et al. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach , 2018, ACL.
[22] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[23] Kristian Kersting,et al. How is a data-driven approach better than random choice in label space division for multi-label classification? , 2016, Entropy.
[24] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[25] Anna Korhonen,et al. Initializing neural networks for hierarchical multi-label text classification , 2017, BioNLP.
[26] Xu Sun,et al. Label Embedding Network: Learning Label Representation for Soft Training of Deep Networks , 2017, ArXiv.
[27] Jason Weston,et al. A kernel method for multi-labelled classification , 2001, NIPS.
[28] Yoram Singer,et al. Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.
[29] Xu Sun,et al. Bag-of-Words as Target for Neural Machine Translation , 2018, ACL.
[30] Regina Barzilay,et al. Style Transfer from Non-Parallel Text by Cross-Alignment , 2017, NIPS.
[31] Li Li,et al. Multi-label Text Categorization with Joint Learning Predictions-as-Features Method , 2015, EMNLP.
[32] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[33] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[34] Yiming Yang,et al. RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..
[35] Xu Sun,et al. Global Encoding for Abstractive Summarization , 2018, ACL.
[36] Johannes Fürnkranz,et al. Large-Scale Multi-label Text Classification - Revisiting Neural Networks , 2013, ECML/PKDD.
[37] Yiming Yang,et al. Multilabel classification with meta-level features , 2010, SIGIR.
[38] Fernando Benites,et al. HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text Classification , 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).
[39] Zhi-Hua Zhou,et al. ML-KNN: A lazy learning approach to multi-label learning , 2007, Pattern Recognit..
[40] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.