Ghouthi Boukli Hacene

According to our database, Ghouthi Boukli Hacene authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning.

Luca Zampierin, Ghouthi Boukli Hacene, Bac Nguyen, Mirco Ravanelli

CoRR, 2024

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models.

Reda Bensaid, Vincent Gripon, François Leduc-Primeau, Lukas Mauch, Ghouthi Boukli Hacene, Fabien Cardinaux

CoRR, 2024

2023

Inferring Latent Class Statistics from Text for Robust Visual Few-Shot Learning.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Fabien Cardinaux, Ghouthi Boukli Hacene

CoRR, 2023

ThinResNet: A New Baseline for Structured Convolutional Networks Pruning.

Hugo Tessier, Ghouthi Boukli Hacene, Vincent Gripon

CoRR, 2023

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Giulia Lioi, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

Proceedings of the 31st European Signal Processing Conference, 2023

2022

A Statistical Model for Predicting Generalization in Few-Shot Classification.

Yassir Bendou, Vincent Gripon, Bastien Pasdeloup, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux, Ghouthi Boukli Hacene, Javier Alonso García

CoRR, 2022

2021

Quantization and Deployment of Deep Neural Networks on Microcontrollers.

Pierre-Emmanuel Novac, Ghouthi Boukli Hacene, Alain Pegatoquet, Benoît Miramond, Vincent Gripon

Sensors, 2021

DNN Quantization with Attention.

Ghouthi Boukli Hacene, Lukas Mauch, Stefan Uhlich, Fabien Cardinaux

CoRR, 2021

Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization.

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

CoRR, 2021

Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization.

Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DecisiveNets: Training Deep Associative Memories to Solve Complex Machine Learning Problems.

Vincent Gripon, Carlos Lassance, Ghouthi Boukli Hacene

CoRR, 2020

ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget.

Guillaume Coiffier, Ghouthi Boukli Hacene, Vincent Gripon

CoRR, 2020

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.

Milos Nikolic, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos

CoRR, 2020

Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks.

Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio

Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

Attention Based Pruning for Shift Networks.

Ghouthi Boukli Hacene, Carlos Lassance, Vincent Gripon, Matthieu Courbariaux, Yoshua Bengio

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Deep Geometric Knowledge Distillation with Graphs.

Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Processing and learning deep neural networks on chip. (Traitement et apprentissage des réseaux de neurones profonds sur puce).

Ghouthi Boukli Hacene

PhD thesis, 2019

Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

J. Signal Process. Syst., 2019

Efficient Hardware Implementation of Incremental Learning and Inference on Chip.

Ghouthi B. Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019

Training Modern Deep Neural Networks for Memory-Fault Robustness.

Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Introducing Graph Smoothness Loss for Training Deep Learning Architectures.

Myriam Bontonou, Carlos Eduardo Rosar Kós Lassance, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega

Proceedings of the IEEE Data Science Workshop, 2019

2018

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks.

Ghouthi Boukli Hacene, Vincent Gripon, Matthieu Arzel, Nicolas Farrugia, Yoshua Bengio

CoRR, 2018

Transfer Incremental Learning using Data Augmentation.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

CoRR, 2018

Improving Accuracy of Nonparametric Transfer Learning Via Vector Segmentation.

Vincent Gripon, Ghouthi B. Hacene, Matthias Löwe, Franck Vermet

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Large-Scale Memory of Sequences Using Binary Sparse Neural Networks on GPU.

Max Raphael Sobroza Marques, Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, Pierre-Henri Horrein

Proceedings of the 2017 International Conference on High Performance Computing & Simulation, 2017

Incremental learning on chip.

Ghouthi Boukli Hacene, Vincent Gripon, Nicolas Farrugia, Matthieu Arzel, Michel Jézéquel

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017