Nathan Hubens

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Pruning Methods

Visual Attention

Top Venues

Publications

Nathan Hubens, Victor Delvigne, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
Induced Feature Selection by Structured Pruning. CoRR (2023)
Omar Seddati, Nathan Hubens, Stéphane Dupont, Thierry Dutoit
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation. CoRR (2023)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
One-Cycle Pruning: Pruning Convnets With Tight Training Budget. ICIP (2022)
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
Where Is My Mind (Looking at)? A Study of the EEG-Visual Attention Relationship. Informatics 9 (1) (2022)
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity. CoRR (2022)
Nathan Hubens
FasterAI: A Lightweight Library for Creating Sparse Neural Networks. CoRR (2022)
Antoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models. CoRR (2022)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. CoRR (2022)
Antoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit
Towards Lightweight Neural Animation: Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models. VISIGRAPP (1: GRAPP) (2022)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. ICIAP (1) (2022)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. CoRR (2021)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network. CoRR (2021)
Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus B. Zaharia, Bernard Gosselin, Thierry Dutoit
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. APPIS (2020)
Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont
Modulated Self-attention Convolutional Network for VQA. CoRR (2019)