158 citations · 485 across the 44 of their papers we have counts for
7 papers · 1 filter
AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang +4
In this paper, we propose an Attentional Generative Adversarial Network (AttnGAN) that allows attention-driven, multi-stage refinement for fine-grained text-to-image generation. Wi…
Tensor Product Generation Networks for Deep NLP Modeling
Qiuyuan Huang, Paul Smolensky, Xiaodong He +2
We present a new approach to the design of deep networks for natural language processing (NLP), based on the general technique of Tensor Product Representations (TPRs) for encoding…
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
Damien Teney, Peter Anderson, Xiaodong He +1
This paper presents a state-of-the-art model for visual question answering (VQA), which won the first place in the 2017 VQA Challenge. VQA is a task of significant importance for r…
Submodular Mini-Batch Training in Generative Moment Matching Networks
Jun Qi
This article was withdrawn because (1) it was uploaded without the co-authors' knowledge or consent, and (2) there are allegations of plagiarism.
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He +1
We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network (SynNet). Given a high-performing MC model in one domain, our t…
Character-level Deep Conflation for Business Data Analytics
Zhe Gan, P. D. Singh, Ameet Joshi +4
Connecting different text attributes associated with the same entity (conflation) is important in business data analytics since it could help merge two different tables in a databa…