37 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CV2019
Efficient Codebook and Factorization for Second Order Representation Learning
Pierre Jacob, David Picard, Aymeric Histace +1
Learning rich and compact representations is an open topic in many fields such as object recognition or image retrieval. Deep neural networks have made a major breakthrough during…
stat.ML2016★ 1 cited
Very Fast Kernel SVM under Budget Constraints
David Picard
In this paper we propose a fast online Kernel SVM algorithm under tight budget constraints. We propose to split the input space using LVQ and train a Kernel SVM in each cluster. To…
cs.CV2016★ 37 cited
Gossip training for deep learning
Michael Blot, David Picard, Matthieu Cord +1
We address the issue of speeding up the training of convolutional networks. Here we study a distributed method adapted to stochastic gradient descent (SGD). The parallel optimizati…