Gehui Shen

Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge

2020

Bayesian neural networks (BNNs) have received more and more attention because they are capable of modeling epistemic uncertainty which is hard for conventional neural networks. Markov chain Monte Carlo (MCMC) methods and variational inference (VI) …

Inter-Weighted Alignment Network for Sentence Pair Modeling

2017

Sentence pair modeling is a crucial problem in the field of natural language processing. In this paper, we propose a model to measure the similarity of a sentence pair focusing on the interaction information. We …