Search Results for author: Aaron C. Courville

Found 4 papers, 0 papers with code

Towards Text Generation with Adversarially Learned Neural Outlines

no code implementations NeurIPS 2018 Sandeep Subramanian, Sai Rajeswar Mudumba, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal

We generate outlines with an adversarial model trained to approximate the distribution of sentences in a latent space induced by general-purpose sentence encoders.

Sentence Text Generation

On Tracking The Partition Function

no code implementations NeurIPS 2011 Guillaume Desjardins, Yoshua Bengio, Aaron C. Courville

In this paper, we exploit the gradient descent training procedure of restricted Boltzmann machines (a type of MRF) to {\bf track} the log partition function during learning.

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism

no code implementations NeurIPS 2009 Douglas Eck, Yoshua Bengio, Aaron C. Courville

The Indian Buffet Process is a Bayesian nonparametric approach that models objects as arising from an infinite number of latent factors.

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