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Iteratively Training Look-Up Tables for Network Quantization

Iteratively Training Look-Up Tables for Network Quantization

12 November 2019
Fabien Cardinaux
Stefan Uhlich
K. Yoshiyama
Javier Alonso García
Lukas Mauch
Stephen Tiedemann
Thomas Kemp
Akira Nakamura
    MQ
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Papers citing "Iteratively Training Look-Up Tables for Network Quantization"

5 / 5 papers shown
Title
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Fast Matrix Multiplications for Lookup Table-Quantized LLMs
Han Guo
William Brandon
Radostin Cholakov
Jonathan Ragan-Kelley
Eric P. Xing
Yoon Kim
MQ
83
12
0
20 Jan 2025
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data
  Transmission
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
Wenjun Huang
Arghavan Rezvani
Hanning Chen
Yang Ni
Sanggeon Yun
Sungheon Jeong
Mohsen Imani
11
7
0
03 Feb 2024
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Quantization and Deployment of Deep Neural Networks on Microcontrollers
Pierre-Emmanuel Novac
G. B. Hacene
Alain Pegatoquet
Benoit Miramond
Vincent Gripon
MQ
20
116
0
27 May 2021
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
J. Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
168
86
0
30 Nov 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
311
1,047
0
10 Feb 2017
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