RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks

4 January 2020

Luca Benini

Papers citing "RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks"

3 / 3 papers shown

Title
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 22 8 0 14 Feb 2022
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces Tibor Schneider Xiaying Wang Michael Hersche Lukas Cavigelli Luca Benini 6 24 0 24 Apr 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017