20 citations · 59 across the 10 of their papers we have counts for
4 papers · 1 filter
Context Reinforced Neural Topic Modeling over Short Texts
Jiachun Feng, Zusheng Zhang, Cheng Ding +2
As one of the prevalent topic mining tools, neural topic modeling has attracted a lot of interests for the advantages of high efficiency in training and strong generalisation abili…
Handling Collocations in Hierarchical Latent Tree Analysis for Topic Modeling
Leonard K. M. Poon, Nevin L. Zhang, Haoran Xie +1
Topic modeling has been one of the most active research areas in machine learning in recent years. Hierarchical latent tree analysis (HLTA) has been recently proposed for hierarchi…
MBA-RainGAN: Multi-branch Attention Generative Adversarial Network for Mixture of Rain Removal from Single Images
Yiyang Shen, Yidan Feng, Sen Deng +4
Rain severely hampers the visibility of scene objects when images are captured through glass in heavily rainy days. We observe three intriguing phenomenons that, 1) rain is a mixtu…
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification
Xianming Li, Zongxi Li, Yingbin Zhao +2
The dominant text classification studies focus on training classifiers using textual instances only or introducing external knowledge (e.g., hand-craft features and domain expert k…