Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations

Author:

Marchisio Alberto1,Bussolino Beatrice2,Salvati Edoardo2,Martina Maurizio2,Masera Guido2,Shafique Muhammad3

Affiliation:

1. Technische Universität Wien (TU Wien), Austria

2. Politecnico di Torino, Italy

3. New York University Abu Dhabi (NYUAD), United Arab Emirates

Publisher

ACM

Reference24 articles.

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3. Vinay  K. Chippa , Swagath Venkataramani , Srimat  T. Chakradhar , Kaushik Roy , and Anand Raghunathan . 2013 . Approximate computing: An integrated hardware approach . In 2013 Asilomar Conference on Signals, Systems and Computers. IEEE, 111–117 . https://doi.org/10.1109/ACSSC.2013.6810241 Vinay K. Chippa, Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, and Anand Raghunathan. 2013. Approximate computing: An integrated hardware approach. In 2013 Asilomar Conference on Signals, Systems and Computers. IEEE, 111–117. https://doi.org/10.1109/ACSSC.2013.6810241

4. Jonathan Frankle and Michael Carbin . 2019 . The Lottery Ticket Hypothesis: Finding Sparse , Trainable Neural Networks. In 7th International Conference on Learning Representations, ICLR 2019. OpenReview.net. Jonathan Frankle and Michael Carbin. 2019. The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. In 7th International Conference on Learning Representations, ICLR 2019. OpenReview.net.

5. Yue Gao , Weiqiang Liu , and Fabrizio Lombardi . 2020 . Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks . In IEEE International Symposium on Circuits and Systems, ISCAS 2020 . IEEE, 1–5. https://doi.org/10.1109/ISCAS45731.2020.9180870 Yue Gao, Weiqiang Liu, and Fabrizio Lombardi. 2020. Design and Implementation of an Approximate Softmax Layer for Deep Neural Networks. In IEEE International Symposium on Circuits and Systems, ISCAS 2020. IEEE, 1–5. https://doi.org/10.1109/ISCAS45731.2020.9180870

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