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Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT
  Applications

Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications

USENIX workshop on Tackling computer systems problems with machine learning techniques (SysML), 2019
4 March 2019
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
ArXiv (abs)PDFHTML

Papers citing "Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications"

10 / 10 papers shown
Compilation and Optimizations for Efficient Machine Learning on Embedded
  Systems
Compilation and Optimizations for Efficient Machine Learning on Embedded Systems
Xiaofan Zhang
Yao Chen
Cong Hao
Sitao Huang
Yuhong Li
Deming Chen
219
2
0
06 Jun 2022
Keyword Transformer: A Self-Attention Model for Keyword Spotting
Keyword Transformer: A Self-Attention Model for Keyword SpottingInterspeech (Interspeech), 2021
Axel Berg
Mark O'Connor
M. T. Cruz
226
164
0
01 Apr 2021
Doping: A technique for efficient compression of LSTM models using
  sparse structured additive matrices
Doping: A technique for efficient compression of LSTM models using sparse structured additive matricesConference on Machine Learning and Systems (MLSys), 2021
Urmish Thakker
P. Whatmough
Zhi-Gang Liu
Matthew Mattina
Jesse G. Beu
124
7
0
14 Feb 2021
Rank and run-time aware compression of NLP Applications
Rank and run-time aware compression of NLP Applications
Urmish Thakker
Jesse G. Beu
Dibakar Gope
Ganesh S. Dasika
Matthew Mattina
114
11
0
06 Oct 2020
High Throughput Matrix-Matrix Multiplication between Asymmetric
  Bit-Width Operands
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands
Dibakar Gope
Jesse G. Beu
Matthew Mattina
179
6
0
03 Aug 2020
Compressing Language Models using Doped Kronecker Products
Compressing Language Models using Doped Kronecker Products
Urmish Thakker
Paul Whatamough
Zhi-Gang Liu
Matthew Mattina
Jesse G. Beu
223
10
0
24 Jan 2020
Ternary MobileNets via Per-Layer Hybrid Filter Banks
Ternary MobileNets via Per-Layer Hybrid Filter Banks
Dibakar Gope
Jesse G. Beu
Urmish Thakker
Matthew Mattina
MQ
162
15
0
04 Nov 2019
Pushing the limits of RNN Compression
Pushing the limits of RNN Compression
Urmish Thakker
Igor Fedorov
Jesse G. Beu
Dibakar Gope
Chu Zhou
Ganesh S. Dasika
Matthew Mattina
164
13
0
04 Oct 2019
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on
  Embedded Systems
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded SystemsConference on Machine Learning and Systems (MLSys), 2019
Xiaofan Zhang
Haoming Lu
Cong Hao
Jiachen Li
Bowen Cheng
...
Jinjun Xiong
Thomas Huang
Humphrey Shi
Wen-mei W. Hwu
Deming Chen
217
98
0
20 Sep 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained
  Microcontrollers
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained MicrocontrollersNeural Information Processing Systems (NeurIPS), 2019
Igor Fedorov
Ryan P. Adams
Matthew Mattina
P. Whatmough
237
174
0
28 May 2019
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