208 citations
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6 papers · 1 filter
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
In recent years, deep neural networks have known a wide success in various application domains. However, they require important computational and memory resources, which severely h…
Personal information self-management: A survey of technologies supporting administrative services
Paul Marillonnet, Maryline Laurent, Mikaël Ates
This paper presents a survey of technologies for personal data self-management interfacing with administrative and territorial public service providers. It classifies a selection o…
Parsimonious Edge Computing to Reduce Microservice Resource Usage
Mathieu Simon, Alessandro Spallina, Loic Dubocquet +1
Cloud Computing (CC) is the most prevalent paradigm under which services are provided over the Internet. The most relevant feature for its success is its capability to promptly sca…
Mixture weights optimisation for Alpha-Divergence Variational Inference
Kamélia Daudel, Randal Douc
This paper focuses on -divergence minimisation methods for Variational Inference. More precisely, we are interested in algorithms optimising the mixture weights of any given mix…
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei, Hussain Alattas, Nesrine Kaaniche
We show that a modification of the first layer of a Graph Convolutional Network (GCN) can be used to effectively propagate label information across neighbor nodes, for binary and m…
Joint self-supervised blind denoising and noise estimation
Jean Ollion, Charles Ollion, Elisabeth Gassiat +2
We propose a novel self-supervised image blind denoising approach in which two neural networks jointly predict the clean signal and infer the noise distribution. Assuming that the…