Ghouthi Boukli Hacene

发表

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

Vincent Gripon, Matthieu Arzel, Ghouthi Boukli Hacene, 2019, J. Signal Process. Syst..

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

Vincent Gripon, Ghouthi Boukli Hacene, Carlos Lassance, 2020, ArXiv.

Attention Based Pruning for Shift Networks pdf

Vincent Gripon, Yoshua Bengio, Ghouthi Boukli Hacene, 2019, ArXiv.

ThriftyNets : Convolutional Neural Networks with Tiny Parameter Budget pdf

Vincent Gripon, Ghouthi Boukli Hacene, Guillaume Coiffier, 2020, ArXiv.

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

Pierre-Henri Horrein, Ghouthi Boukli Hacene, Carlos Eduardo Rosar Kós Lassance, 2017, 2017 International Conference on High Performance Computing & Simulation (HPCS).

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

Ghouthi Boukli Hacene, Ehsan Saboori, Yasser Idris, 2021, ArXiv.

BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization pdf

Vincent Gripon, Yoshua Bengio, Andreas Moshovos, 2020, ArXiv.

Training Modern Deep Neural Networks for Memory-Fault Robustness

Vincent Gripon, François Leduc-Primeau, Ghouthi Boukli Hacene, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

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

Vincent Gripon, Matthieu Arzel, Ghouthi Boukli Hacene, 2017, 2017 IEEE International Workshop on Signal Processing Systems (SiPS).

Incremental learning on chip

Vincent Gripon, Matthieu Arzel, Ghouthi Boukli Hacene, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Efficient Hardware Implementation of Incremental Learning and Inference on Chip

Vincent Gripon, Matthieu Arzel, Ghouthi Boukli Hacene, 2019, 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS).

Sparse Clustered Neural Networks for the Assignment Problem

Ghouthi Boukli Hacene, Bowen Xue, Said Medjkouh, 2017 .

Quantized Guided Pruning for Efficient Hardware Implementations of Deep Neural Networks

Vincent Gripon, Ghouthi Boukli Hacene, Yoshua Bengio, 2020, 2020 18th IEEE International New Circuits and Systems Conference (NEWCAS).

Introducing Graph Smoothness Loss for Training Deep Learning Architectures

Vincent Gripon, Ghouthi Boukli Hacene, Jian Tang, 2019, 2019 IEEE Data Science Workshop (DSW).

Deep Geometric Knowledge Distillation with Graphs

Vincent Gripon, Ghouthi Boukli Hacene, Antonio Ortega, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Vincent Gripon, Yoshua Bengio, Matthieu Arzel, 2018, ArXiv.

Pruning for efficient hardware implementations of deep neural networks

Vincent Gripon, Ghouthi Boukli Hacene, Nicolas Farrugia, 2020 .

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

Ghouthi Boukli Hacene, G. B. Hacene, 2019 .

Finding All Matches in a Database using Binary Neural Networks

Vincent Gripon, Matthieu Arzel, Ghouthi Boukli Hacene, 2017 .

Quantization and Deployment of Deep Neural Networks on Microcontrollers

Vincent Gripon, Benoît Miramond, Alain Pegatoquet, 2021, Sensors.

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

Ghouthi Boukli Hacene, Anush Sankaran, Ehsan Saboori, 2021, AAAI.