Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)

19 December 2018

Papers citing "Fast Adjustable Threshold For Uniform Neural Network Quantization (Winning solution of LPIRC-II)"

5 / 5 papers shown

Title
Quantune: Post-training Quantization of Convolutional Neural Networks using Extreme Gradient Boosting for Fast Deployment Jemin Lee Misun Yu Yongin Kwon Teaho Kim MQ 30 17 0 10 Feb 2022
Self-Compression in Bayesian Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya UQCV BDL 36 5 0 10 Nov 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele AAML MQ 24 18 0 16 Apr 2021
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
Fighting Quantization Bias With Bias Alexander Finkelstein Uri Almog Mark Grobman MQ 28 56 0 07 Jun 2019