EvoPrunerPool: An Evolutionary Pruner using Pruner Pool for Compressing Convolutional Neural Networks

Author:

Velayutham C. Shunmuga1ORCID,S Sujit Subramanian1ORCID,K Arvindram1ORCID,Sathya Madhusoodhan2ORCID,Sengodan Nathiyaa2ORCID,Kosuri Divesh1ORCID,Arvapalli Sai Satvik1ORCID,S Thangavelu1ORCID,G Jeyakumar1ORCID

Affiliation:

1. Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India

2. MultiCoreWare Inc., Chennai, Tamil Nadu, India

Publisher

ACM

Reference31 articles.

1. Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

2. A comprehensive survey on model compression and acceleration

3. Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks

4. Jonathan Frankle and Michael Carbin . 2019 . The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks . In Proceedings of 7th International Conference on Learning Representations (ICLR) . New Orlean, LA, USA. Jonathan Frankle and Michael Carbin. 2019. The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. In Proceedings of 7th International Conference on Learning Representations (ICLR). New Orlean, LA, USA.

5. Automated detection of cardiac arrhythmia using deep learning techniques

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