Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks

8 July 2016

Papers citing "Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks"

9 / 9 papers shown

Title
OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks Benoit Steiner Mostafa Elhoushi Jacob Kahn James Hegarty 29 8 0 24 Oct 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning Wachirawit Ponghiran Kaushik Roy 25 48 0 04 Sep 2021
A Computing Kernel for Network Binarization on PyTorch Xianda Xu M. Pedersoli MQ 8 3 0 11 Nov 2019
A Survey on Methods and Theories of Quantized Neural Networks Yunhui Guo MQ 24 230 0 13 Aug 2018
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem A. Friesen Pedro M. Domingos 16 20 0 31 Oct 2017
SEP-Nets: Small and Effective Pattern Networks Zhe Li Xiaoyu Wang Xutao Lv Tianbao Yang 22 12 0 13 Jun 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 15 479 0 24 May 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization Zhaowei Cai Xiaodong He Jian Sun Nuno Vasconcelos MQ 19 502 0 03 Feb 2017