Memory Efficient Invertible Neural Networks for Class-Incremental Learning

Guillaume Hocquet, Olivier Bichler, Damien Querlioz. Memory Efficient Invertible Neural Networks for Class-Incremental Learning. In 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, Washington, DC, USA, June 6-9, 2021. pages 1-4, IEEE, 2021. [doi]

@inproceedings{HocquetBQ21,
  title = {Memory Efficient Invertible Neural Networks for Class-Incremental Learning},
  author = {Guillaume Hocquet and Olivier Bichler and Damien Querlioz},
  year = {2021},
  doi = {10.1109/AICAS51828.2021.9458549},
  url = {https://doi.org/10.1109/AICAS51828.2021.9458549},
  researchr = {https://researchr.org/publication/HocquetBQ21},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2021, Washington, DC, USA, June 6-9, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1913-0},
}