End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning

5 May 2025

Papers citing "End-to-end fully-binarized network design: from Generic Learned Thermometer to Block Pruning"

9 / 9 papers shown

Title
Histogram-Equalized Quantization for logic-gated Residual Neural Networks Van Thien Nguyen William Guicquero Gilles Sicard MQ 99 2 0 10 Jan 2025
Input Layer Binarization with Bit-Plane Encoding Lorenzo Vorabbi Davide Maltoni Stefano Santi MQ 39 6 0 04 May 2023
FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations Yichi Zhang Junhao Pan Xinheng Liu Hongzheng Chen Deming Chen Zhiru Zhang MQ 86 93 0 22 Dec 2020
Differentiable Joint Pruning and Quantization for Hardware Efficiency Ying Wang Yadong Lu Tijmen Blankevoort MQ 61 72 0 20 Jul 2020
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu Zhiqiang Shen Marios Savvides Kwang-Ting Cheng MQ 143 354 0 07 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 267 1,052 0 06 Mar 2020
Visual Wake Words Dataset Aakanksha Chowdhery Pete Warden Jonathon Shlens Andrew G. Howard Rocky Rhodes VLM 78 102 0 12 Jun 2019
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 117 3,765 0 15 Aug 2017
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,681 0 08 Jun 2015