47 citations · 262 across the 33 of their papers we have counts for
3 papers · 1 filter
A Neural-Symbolic Approach to Design of CAPTCHA
Qiuyuan Huang, Paul Smolensky, Xiaodong He +2
CAPTCHAs based on reading text are susceptible to machine-learning-based attacks due to recent significant advances in deep learning (DL). To address this, this paper promotes imag…
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…
Question-Answering with Grammatically-Interpretable Representations
Hamid Palangi, Paul Smolensky, Xiaodong He +1
We introduce an architecture, the Tensor Product Recurrent Network (TPRN). In our application of TPRN, internal representations learned by end-to-end optimization in a deep neural…