Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks

Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu. Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 7645-7657, PMLR, 2023. [doi]

@inproceedings{DengLLG23,
  title = {Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks},
  author = {Shikuang Deng and Hao Lin and Yuhang Li and Shi Gu},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/deng23d.html},
  researchr = {https://researchr.org/publication/DengLLG23},
  cites = {0},
  citedby = {0},
  pages = {7645-7657},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}