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1811.04985
Cited By

Generalized Ternary Connect: End-to-End Learning and Compression of
Multiplication-Free Deep Neural Networks

Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks

12 November 2018

Samyak Parajuli

ArXiv (abs)PDF HTML

Papers citing "Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks"

5 / 5 papers shown

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware
Accelerators

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators

Indhumathi Kandaswamy

...

155

6

0

10 Jun 2022

Quantization-Guided Training for Compact TinyML Models

Quantization-Guided Training for Compact TinyML Models

205

21

0

10 Mar 2021

Subtensor Quantization for Mobilenets

Subtensor Quantization for Mobilenets

Vasilios Daskalopoulos

177

4

0

04 Nov 2020

Bit Efficient Quantization for Deep Neural Networks

Bit Efficient Quantization for Deep Neural Networks

184

45

0

07 Oct 2019

Toward Runtime-Throttleable Neural Networks

Toward Runtime-Throttleable Neural Networks

Jesse Hostetler

101

2

0

30 May 2019

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