18 citations · 18 across the 3 of their papers we have counts for
3 papers
MANAS: Multi-Agent Neural Architecture Search
Vasco Lopes, Fabio Maria Carlucci, Pedro M Esperança +6
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 g…
Boundary Optimizing Network (BON)
Marco Singh, Akshay Pai
Despite all the success that deep neural networks have seen in classifying certain datasets, the challenge of finding optimal solutions that generalize still remains. In this paper…
Exploiting Nontrivial Connectivity for Automatic Speech Recognition
Marius Paraschiv, Lasse Borgholt, Tycho Max Sylvester Tax +2
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.…