SGD on Neural Networks Learns Functions of Increasing Complexity

SGD on Neural Networks Learns Functions of Increasing Complexity. Nakkiran, P., Kaplun, G., Kalimeris, D., Yang, T., Edelman, B. L., Zhang, F., & Barak, B. In Wallach, H. M., Larochelle, H., Beygelzimer, A., d'Alché-Buc , F., Fox, E. B., & Garnett, R., editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, pages 3491–3501, 2019.

Paper bibtex 13 downloads

@inproceedings{DBLP:conf/nips/KalimerisKNEYBZ19,
  author       = {Preetum Nakkiran and
                  Gal Kaplun and
                  Dimitris Kalimeris and
                  Tristan Yang and
                  Benjamin L. Edelman and
                  Fred Zhang and
                  Boaz Barak},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {{SGD} on Neural Networks Learns Functions of Increasing Complexity},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {3491--3501},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/b432f34c5a997c8e7c806a895ecc5e25-Abstract.html},
  timestamp    = {Mon, 18 Nov 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/nips/KalimerisKNEYBZ19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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