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Nathan Hubens
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2020 – today
- 2023
- [i9]Nathan Hubens, Victor Delvigne, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Induced Feature Selection by Structured Pruning. CoRR abs/2303.10999 (2023) - [i8]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 abs/2305.18988 (2023) - 2022
- [b1]Nathan Hubens:
Towards lighter and faster deep neural networks with parameter pruning. (Compression et accélération de réseaux de neurones profonds par élagage synaptique). Polytechnic Institute of Paris, Palaiseau, France, 2022 - [j1]Victor Delvigne
, Noé Tits
Where Is My Mind (Looking at)? A Study of the EEG-Visual Attention Relationship. Informatics 9(1): 26 (2022) - [c4]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: 286-293 - [c3]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. ICIAP (1) 2022: 379-390 - [c2]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda
One-Cycle Pruning: Pruning Convnets With Tight Training Budget. ICIP 2022: 4128-4132 - [i7]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 abs/2201.03902 (2022) - [i6]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 abs/2201.04042 (2022) - [i5]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. CoRR abs/2203.05807 (2022) - [i4]Nathan Hubens:
FasterAI: A Lightweight Library for Creating Sparse Neural Networks. CoRR abs/2207.01088 (2022) - 2021
- [i3]Nathan Hubens, Matei Mancas, Bernard Gosselin, Marius Preda, Titus B. Zaharia:
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. CoRR abs/2107.02086 (2021) - [i2]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 abs/2112.08227 (2021) - 2020
- [c1]Nathan Hubens, Matei Mancas, Marc Decombas, Marius Preda
An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. APPIS 2020: 28:1-28:6
2010 – 2019
- 2019
- [i1]Jean-Benoit Delbrouck, Antoine Maiorca, Nathan Hubens, Stéphane Dupont:
Modulated Self-attention Convolutional Network for VQA. CoRR abs/1910.03343 (2019)
Coauthor Index
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