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On the Compressive Power of Boolean Threshold Autoencoders

On the Compressive Power of Boolean Threshold Autoencoders

21 April 2020
A. Melkman
Sini Guo
W. Ching
Pengyu Liu
Tatsuya Akutsu
    AI4CE
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Papers citing "On the Compressive Power of Boolean Threshold Autoencoders"

12 / 12 papers shown
Title
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
78
463
0
31 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
107
10,591
0
17 Feb 2020
Are deep ResNets provably better than linear predictors?
Are deep ResNets provably better than linear predictors?
Chulhee Yun
S. Sra
Ali Jadbabaie
78
12
0
09 Jul 2019
Uncertainty Autoencoders: Learning Compressed Representations via
  Variational Information Maximization
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover
Stefano Ermon
13
53
0
26 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OOD
SSL
DRL
29
442
0
12 Dec 2018
On the Compressive Power of Deep Rectifier Networks for High Resolution
  Representation of Class Boundaries
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
Senjian An
Bennamoun
F. Boussaïd
26
2
0
24 Aug 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
210
4,612
0
10 Nov 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
103
2,911
0
07 Oct 2016
Tutorial on Variational Autoencoders
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
66
1,736
0
19 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
120
4,342
0
16 Mar 2016
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
85
2,976
0
02 Nov 2015
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
52
1,249
0
08 Feb 2014
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