Neural Computation · 2021 · Journal article · Author with a top-venue record

Replay in Deep Learning: Current Approaches and Missing Biological Elements

Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan

Rochester Institute of Technology · University of California San Diego · University of Massachusetts Amherst · Salk Institute for Biological Studies · American International Group (United States) · Cornell University · Cornell Tech

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Date
2021-08-30
Citations
157
arXiv
2104.04132
Cite
@article{hayes2021replay,
  title = {Replay in Deep Learning: Current Approaches and Missing Biological Elements},
  author = {Tyler L. Hayes and Giri P. Krishnan and Maxim Bazhenov and Hava T. Siegelmann and Terrence J. Sejnowski and Christopher Kanan},
  year = {2021},
  journal = {Neural Computation},
  eprint = {2104.04132},
  archivePrefix = {arXiv},
  doi = {10.1162/neco_a_01433},
  url = {https://arxiv.org/abs/2104.04132},
}