Neural Computation · 2020 · Journal article

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama

RIKEN Center for Advanced Intelligence Project · The University of Tokyo · The University of Sydney

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Date
2021-06-07
Citations
75
arXiv
2011.06220
Cite
@article{xie2020artificial,
  title = {Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting},
  author = {Zeke Xie and Fengxiang He and Shaopeng Fu and Issei Sato and Dacheng Tao and Masashi Sugiyama},
  year = {2020},
  journal = {Neural Computation},
  eprint = {2011.06220},
  archivePrefix = {arXiv},
  doi = {10.1162/neco_a_01403},
  url = {https://arxiv.org/abs/2011.06220},
}