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Symposium on VLSI Technology · 2019 · Conference paper

Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses

S. Bianchi, Irene Muñoz-Martín, Giacomo Pedretti, O. Melnic, Stefano Ambrogio, Daniele Ielmini

Politecnico di Milano · IBM Research - Almaden

Publisher page ↗
Published in
2019 Symposium on VLSI Technology
Date
2019-06-01
Citations
11
Cite
@inproceedings{bianchi2019energyefficient,
  title = {Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses},
  author = {S. Bianchi and Irene Muñoz-Martín and Giacomo Pedretti and O. Melnic and Stefano Ambrogio and Daniele Ielmini},
  year = {2019},
  booktitle = {2019 Symposium on VLSI Technology},
  doi = {10.23919/VLSIT.2019.8776559},
  url = {https://doi.org/10.23919/VLSIT.2019.8776559},
}