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APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning
  Inference

APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference

21 January 2022
Alberto Delmas Lascorz
Mostafa Mahmoud
Andreas Moshovos
    MQ
ArXivPDFHTML

Papers citing "APack: Off-Chip, Lossless Data Compression for Efficient Deep Learning Inference"

4 / 4 papers shown
Title
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
307
7,005
0
20 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,613
0
17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
348
10,237
0
16 Nov 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
478
15,657
0
02 Nov 2015
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