1 citations · 1 across the 3 of their papers we have counts for
3 papers
Efficient Automation of Neural Network Design: A Survey on Differentiable Neural Architecture Search
Alexandre Heuillet, Ahmad Nasser, Hichem Arioui +1
In the past few years, Differentiable Neural Architecture Search (DNAS) rapidly imposed itself as the trending approach to automate the discovery of deep neural network architectur…
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks
Alexandre Heuillet, Hedi Tabia, Hichem Arioui
Siamese networks are one of the most trending methods to achieve self-supervised visual representation learning (SSL). Since hand labeling is costly, SSL can play a crucial part by…
D-DARTS: Distributed Differentiable Architecture Search
Alexandre Heuillet, Hedi Tabia, Hichem Arioui +1
Differentiable ARchiTecture Search (DARTS) is one of the most trending Neural Architecture Search (NAS) methods. It drastically reduces search cost by resorting to weight-sharing.…