research
∙
10/08/2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Previous works <cit.> have found that generating coherent raw audio wave...
share
research
∙
01/20/2018
A Deep Reinforcement Learning Chatbot (Short Version)
We present MILABOT: a deep reinforcement learning chatbot developed by t...
research
∙
09/07/2017
A Deep Reinforcement Learning Chatbot
We present MILABOT: a deep reinforcement learning chatbot developed by t...
research
∙
09/19/2016
A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations
The softmax content-based attention mechanism has proven to be very bene...
research
∙
06/26/2016
Exact gradient updates in time independent of output size for the spherical loss family
An important class of problems involves training deep neural networks wi...
research
∙
05/09/2016
Theano: A Python framework for fast computation of mathematical expressions
Theano is a Python library that allows to define, optimize, and evaluate...
research
∙
04/29/2016
The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
Despite being the standard loss function to train multi-class neural net...
research
∙
11/16/2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
In a multi-class classification problem, it is standard to model the out...
research
∙
07/31/2015
Artificial Neural Networks Applied to Taxi Destination Prediction
We describe our first-place solution to the ECML/PKDD discovery challeng...
research
∙
02/09/2015
Deep Neural Networks for Anatomical Brain Segmentation
We present a novel approach to automatically segment magnetic resonance ...
research
∙
12/22/2014