Nathan Hubens

15 papers B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation.
CoRR
Omar Seddati, Nathan Hubens, Stéphane Dupont, Thierry Dutoit
2023 J jnl
Induced Feature Selection by Structured Pruning.
CoRR
Nathan Hubens, Victor Delvigne, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2022 J jnl
FasterAI: A Lightweight Library for Creating Sparse Neural Networks.
CoRR
Nathan Hubens
2022 — conf
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety.
ICIAP (1)
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2022 J jnl
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety.
CoRR
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2022 B conf
One-Cycle Pruning: Pruning Convnets With Tight Training Budget.
ICIP
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2022 J jnl
Towards Lightweight Neural Animation : Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models.
CoRR
Antoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit
2022 — conf
Towards Lightweight Neural Animation: Exploration of Neural Network Pruning in Mixture of Experts-based Animation Models.
VISIGRAPP (1: GRAPP)
Antoine Maiorca, Nathan Hubens, Sohaib Laraba, Thierry Dutoit
2022 — —
Towards lighter and faster deep neural networks with parameter pruning. (Compression et accélération de réseaux de neurones profonds par élagage synaptique).
Nathan Hubens
2022 J jnl
Where Is My Mind (Looking at)? A Study of the EEG-Visual Attention Relationship.
Informatics
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
2022 J jnl
Where Is My Mind (looking at)? Predicting Visual Attention from Brain Activity.
CoRR
Victor Delvigne, Noé Tits, Luca La Fisca, Nathan Hubens, Antoine Maiorca, Hazem Wannous, Thierry Dutoit, Jean-Philippe Vandeborre
2021 J jnl
An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network.
CoRR
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2021 J jnl
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget.
CoRR
Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus Zaharia
2020 — conf
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network.
APPIS
Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda, Titus Zaharia, Bernard Gosselin, Thierry Dutoit
2019 J jnl
Modulated Self-attention Convolutional Network for VQA.
CoRR
Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont