1. Changpinyo, S., Sandler, M., Zhmoginov, A.: The power of sparsity in convolutional neural networks (2017). arXiv:1702.06257
2. Child, R., Gray, S., Radford, A., Sutskever, I.: Generating long sequences with sparse transformers (2019). arXiv:1904.10509
3. Dettmers, T., Zettlemoyer, L.: Sparse networks from scratch: faster training without losing performance. CoRR (2019). arxiv:abs/1907.04840
4. Dey, S., Beerei, P., Chugg, K.: Interleaver design for deep neural networks. In: 51st Asilomar Conference on Signals, Systems, and Computers, pp. 1979–1983. IEEE (2017)
5. Dey, S., Huang, K.-W., Beerel, P., Chugg, K.: Characterizing sparse connectivity patterns in neural networks. In: 2018 Information Theory and Applications Workshop (ITA), pp. 1–9. IEEE (2018)