Group preserving label embedding for multi-label classification
نویسندگان
چکیده
منابع مشابه
Multi-Task Label Embedding for Text Classification
Multi-task learning in text classification leverages implicit correlations among related tasks to extract common features and yield performance gains. However, most previous works treat labels of each task as independent and meaningless onehot vectors, which cause a loss of potential information and makes it difficult for these models to jointly learn three or more tasks. In this paper, we prop...
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Department of Computer Science and Technology, Tongji University, Shanghai 201804, PR China Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2G7, Canada Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, PR China d System Research Institute, Polish Academy of Sciences, Warsaw, Poland e Sch...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2019
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2019.01.009