Now showing items 1-3 of 3
Bidirectional Learning in Recurrent Neural Networks Using Equilibrium Propagation
(University of Waterloo, 2018-09-26)
Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of several ideas in biological ...
Disentangled Representation Learning for Stylistic Variation in Neural Language Models
(University of Waterloo, 2018-08-14)
The neural network has proven to be an effective machine learning method over the past decade, prompting its usage for modelling language, among several other domains. However, the latent representations learned by these ...
Simple Convolutional Neural Networks with Linguistically-Annotated Input for Answer Selection in Question Answering
(University of Waterloo, 2018-08-10)
With the advent of deep learning methods, researchers have been increasingly preferring deep learning methods over decades-old feature-engineering-inspired work in Natural Language Processing (NLP). The research community ...