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TENT: Efficient Quantization of Neural Networks on the tiny Edge with
  Tapered FixEd PoiNT

TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT

6 April 2021
H. F. Langroudi
Vedant Karia
Tej Pandit
Dhireesha Kudithipudi
    MQ
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Papers citing "TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT"

3 / 3 papers shown
Title
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
28
152
0
28 Oct 2021
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
98
228
0
10 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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