no code implementations • 3 Sep 2019 • Vasco Lopes, Fabio Maria Carlucci, Pedro M Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
The Neural Architecture Search (NAS) problem is typically formulated as a graph search problem where the goal is to learn the optimal operations over edges in order to maximise a graph-level global objective.
no code implementations • 8 Jan 2018 • Marco Singh, Akshay Pai
Given a classification network, we propose to use a collaborative generative network that produces new synthetic data points in the form of perturbations of original data points.
no code implementations • 28 Nov 2017 • Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax, Marco Singh, Lars Maaløe
Nontrivial connectivity has allowed the training of very deep networks by addressing the problem of vanishing gradients and offering a more efficient method of reusing parameters.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3