14 citations · 14 across the 9 of their papers we have counts for
4 papers · 1 filter
FasterAI: A Lightweight Library for Creating Sparse Neural Networks
Nathan Hubens
FasterAI is a PyTorch-based library, aiming to facilitate the utilization of deep neural networks compression techniques such as sparsification, pruning, knowledge distillation, or…
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
Nathan Hubens, Matei Mancas, Bernard Gosselin +2
Neural network pruning is a widely used strategy for reducing model storage and computing requirements. It allows to lower the complexity of the network by introducing sparsity in…
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models
Antoine Maiorca, Nathan Hubens, Sohaib Laraba +1
In the past few years, neural character animation has emerged and offered an automatic method for animating virtual characters. Their motion is synthesized by a neural network. Con…
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity
Victor Delvigne, Noé Tits, Luca La Fisca +5
Visual attention estimation is an active field of research at the crossroads of different disciplines: computer vision, artificial intelligence and medicine. One of the most common…