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The High-Dimensional Geometry of Binary Neural Networks

The High-Dimensional Geometry of Binary Neural Networks

19 May 2017
Alexander G. Anderson
C. P. Berg
    MQ
ArXivPDFHTML

Papers citing "The High-Dimensional Geometry of Binary Neural Networks"

15 / 15 papers shown
Title
Unsupervised detection of semantic correlations in big data
Unsupervised detection of semantic correlations in big data
Santiago Acevedo
Alex Rodriguez
A. Laio
65
2
0
04 Nov 2024
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
27
4
0
07 Nov 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
32
54
0
17 Aug 2022
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
16
126
0
12 Nov 2021
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
C. Suarez-Ramirez
M. González-Mendoza
Leonardo Chang-Fernández
Gilberto Ochoa-Ruiz
M. Duran-Vega
MQ
14
7
0
11 Apr 2021
Least squares binary quantization of neural networks
Least squares binary quantization of neural networks
Hadi Pouransari
Zhucheng Tu
Oncel Tuzel
MQ
12
32
0
09 Jan 2020
Sparse Weight Activation Training
Sparse Weight Activation Training
Md Aamir Raihan
Tor M. Aamodt
32
72
0
07 Jan 2020
Density Encoding Enables Resource-Efficient Randomly Connected Neural
  Networks
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
Denis Kleyko
Mansour Kheffache
E. P. Frady
U. Wiklund
Evgeny Osipov
19
45
0
19 Sep 2019
Latent Weights Do Not Exist: Rethinking Binarized Neural Network
  Optimization
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
K. Helwegen
James Widdicombe
Lukas Geiger
Zechun Liu
K. Cheng
Roeland Nusselder
MQ
11
110
0
05 Jun 2019
A Survey on Methods and Theories of Quantized Neural Networks
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
27
230
0
13 Aug 2018
Binary Ensemble Neural Network: More Bits per Network or More Networks
  per Bit?
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu
Xin Dong
Hao Su
MQ
14
135
0
20 Jun 2018
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
22
329
0
25 May 2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Ameya Prabhu
Vishal Batchu
Rohit Gajawada
Sri Aurobindo Munagala
A. Namboodiri
MQ
25
18
0
11 Apr 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
Neuromorphic Deep Learning Machines
Neuromorphic Deep Learning Machines
Emre Neftci
C. Augustine
Somnath Paul
Georgios Detorakis
BDL
127
257
0
16 Dec 2016
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