フォロー
Ghouthi Boukli Hacene
Ghouthi Boukli Hacene
Sony, MILA
確認したメール アドレス: imt-atlantique.fr
タイトル
引用先
引用先
Quantization and deployment of deep neural networks on microcontrollers
PE Novac, G Boukli Hacene, A Pegatoquet, B Miramond, V Gripon
Sensors 21 (9), 2984, 2021
1252021
Deep geometric knowledge distillation with graphs
C Lassance, M Bontonou, GB Hacene, V Gripon, J Tang, A Ortega
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
472020
Attention based pruning for shift networks
GB Hacene, C Lassance, V Gripon, M Courbariaux, Y Bengio
2020 25th International Conference on Pattern Recognition (ICPR), 4054-4061, 2021
372021
Training modern deep neural networks for memory-fault robustness
GB Hacene, F Leduc-Primeau, AB Soussia, V Gripon, F Gagnon
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
322019
Bitpruning: Learning bitlengths for aggressive and accurate quantization
M Nikolić, GB Hacene, C Bannon, AD Lascorz, M Courbariaux, Y Bengio, ...
arXiv preprint arXiv:2002.03090, 2020
262020
Budget restricted incremental learning with pre-trained convolutional neural networks and binary associative memories
G Boukli Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
Journal of Signal Processing Systems 91, 1063-1073, 2019
202019
Transfer incremental learning using data augmentation
G Boukli Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
Applied Sciences 8 (12), 2512, 2018
192018
Introducing graph smoothness loss for training deep learning architectures
M Bontonou, C Lassance, GB Hacene, V Gripon, J Tang, A Ortega
2019 IEEE Data Science Workshop (DSW), 160-164, 2019
172019
Finding all matches in a database using binary neural networks
GB Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
COGNITIVE 2017: The Ninth International Conference on Advanced Cognitive …, 2017
162017
Quantized guided pruning for efficient hardware implementations of convolutional neural networks
GB Hacene, V Gripon, M Arzel, N Farrugia, Y Bengio
arXiv preprint arXiv:1812.11337, 2018
152018
Quantized guided pruning for efficient hardware implementations of deep neural networks
GB Hacene, V Gripon, M Arzel, N Farrugia, Y Bengio
2020 18th IEEE International New Circuits and Systems Conference (NEWCAS …, 2020
142020
Processing and learning deep neural networks on chip
GB Hacene
Ecole nationale supérieure Mines-Télécom Atlantique, 2019
102019
Improving accuracy of nonparametric transfer learning via vector segmentation
V Gripon, GB Hacene, M Löwe, F Vermet
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
82018
Sparse clustered neural networks for the assignment problem
S Medjkouh, B Xue, GB Hacene
The Ninth International Conference on Advanced Cognitive Technologies and …, 2017
82017
Deeplite neutrino: An end-to-end framework for constrained deep learning model optimization
A Sankaran, O Mastropietro, E Saboori, Y Idris, D Sawyer, ...
arXiv preprint arXiv:2101.04073, 2021
72021
Incremental learning on chip
GB Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017
72017
Efficient hardware implementation of incremental learning and inference on chip
GB Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel
2019 17th IEEE International New Circuits and Systems Conference (NEWCAS), 1-4, 2019
62019
ThriftyNets: convolutional neural networks with tiny parameter budget
G Coiffier, G Boukli Hacene, V Gripon
IoT 2 (2), 222-235, 2021
32021
A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models
R Bensaid, V Gripon, F Leduc-Primeau, L Mauch, GB Hacene, ...
arXiv preprint arXiv:2401.11311, 2024
22024
A statistical model for predicting generalization in few-shot classification
Y Bendou, V Gripon, B Pasdeloup, G Lioi, L Mauch, S Uhlich, F Cardinaux, ...
2023 31st European Signal Processing Conference (EUSIPCO), 1260-1264, 2023
22023
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