| 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 | 171 | 2021 |
| 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 | 53 | 2020 |
| 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 | 37 | 2021 |
| 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 | 35 | 2019 |
| Bitpruning: Learning bitlengths for aggressive and accurate quantization M Nikolić, GB Hacene, C Bannon, AD Lascorz, M Courbariaux, OM Awad, ... 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | 31 | 2024 |
| 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 | 20 | 2019 |
| Transfer incremental learning using data augmentation G Boukli Hacene, V Gripon, N Farrugia, M Arzel, M Jezequel Applied Sciences 8 (12), 2512, 2018 | 20 | 2018 |
| 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 | 19 | 2019 |
| 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 | 16 | 2020 |
| 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 | 15 | 2018 |
| 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 | 15 | 2017 |
| 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 | 10 | 2021 |
| Processing and learning deep neural networks on chip GB Hacene Ecole nationale supérieure Mines-Télécom Atlantique, 2019 | 10 | 2019 |
| 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 | 9 | 2024 |
| 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 | 8 | 2018 |
| Sparse clustered neural networks for the assignment problem S Medjkouh, GBH Bowen Xue The Ninth International Conference on Advanced Cognitive Technologies and …, 2017 | 7 | 2017 |
| 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 | 6 | 2019 |
| 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 | 6 | 2017 |
| ThriftyNets: convolutional neural networks with tiny parameter budget G Coiffier, G Boukli Hacene, V Gripon IoT 2 (2), 222-235, 2021 | 5 | 2021 |
| SKILL: Similarity-aware Knowledge distILLation for Speech Self-Supervised Learning L Zampierin, GB Hacene, B Nguyen, M Ravanelli arXiv preprint arXiv:2402.16830, 2024 | 3 | 2024 |
Vincent GriponIMT Atlantique and Lab-STICC在 imt-atlantique.fr 的电子邮件经过验证