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Learning Dynamics of Linear Denoising Autoencoders

Learning Dynamics of Linear Denoising Autoencoders

14 June 2018
Arnu Pretorius
Steve Kroon
Herman Kamper
    AI4CE
ArXivPDFHTML

Papers citing "Learning Dynamics of Linear Denoising Autoencoders"

19 / 19 papers shown
Title
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
Xiao Li
Zekai Zhang
Xiang Li
Siyi Chen
Zhihui Zhu
Peng Wang
Qing Qu
DiffM
131
1
0
09 Feb 2025
Weakly Supervised Deep Learning Approach in Streaming Environments
Weakly Supervised Deep Learning Approach in Streaming Environments
Mahardhika Pratama
Andri Ashfahani
Mohamad Abdul Hady
60
13
0
03 Nov 2019
Resurrecting the sigmoid in deep learning through dynamical isometry:
  theory and practice
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington
S. Schoenholz
Surya Ganguli
ODL
43
252
0
13 Nov 2017
High-dimensional dynamics of generalization error in neural networks
High-dimensional dynamics of generalization error in neural networks
Madhu S. Advani
Andrew M. Saxe
AI4CE
128
469
0
10 Oct 2017
Discovery of Visual Semantics by Unsupervised and Self-Supervised
  Representation Learning
Discovery of Visual Semantics by Unsupervised and Self-Supervised Representation Learning
Gustav Larsson
SSL
VLM
33
5
0
19 Aug 2017
Geometry of Optimization and Implicit Regularization in Deep Learning
Geometry of Optimization and Implicit Regularization in Deep Learning
Behnam Neyshabur
Ryota Tomioka
Ruslan Salakhutdinov
Nathan Srebro
AI4CE
63
133
0
08 May 2017
The loss surface of deep and wide neural networks
The loss surface of deep and wide neural networks
Quynh N. Nguyen
Matthias Hein
ODL
135
284
0
26 Apr 2017
Sharp Minima Can Generalize For Deep Nets
Sharp Minima Can Generalize For Deep Nets
Laurent Dinh
Razvan Pascanu
Samy Bengio
Yoshua Bengio
ODL
110
771
0
15 Mar 2017
Exponentially vanishing sub-optimal local minima in multilayer neural
  networks
Exponentially vanishing sub-optimal local minima in multilayer neural networks
Daniel Soudry
Elad Hoffer
136
97
0
19 Feb 2017
A Random Matrix Approach to Neural Networks
A Random Matrix Approach to Neural Networks
Cosme Louart
Zhenyu Liao
Romain Couillet
62
161
0
17 Feb 2017
Local minima in training of neural networks
Local minima in training of neural networks
G. Swirszcz
Wojciech M. Czarnecki
Razvan Pascanu
ODL
61
73
0
19 Nov 2016
Neural Machine Translation with Reconstruction
Neural Machine Translation with Reconstruction
Zhaopeng Tu
Yang Liu
Lifeng Shang
Xiaohua Liu
Hang Li
80
205
0
07 Nov 2016
Why does deep and cheap learning work so well?
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
72
607
0
29 Aug 2016
Analyzing noise in autoencoders and deep networks
Analyzing noise in autoencoders and deep networks
Ben Poole
Jascha Narain Sohl-Dickstein
Surya Ganguli
73
108
0
06 Jun 2014
An Autoencoder Approach to Learning Bilingual Word Representations
An Autoencoder Approach to Learning Bilingual Word Representations
A. Chandar
Stanislas Lauly
Hugo Larochelle
Mitesh M. Khapra
Balaraman Ravindran
V. Raykar
Amrita Saha
SSL
95
342
0
06 Feb 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
162
1,844
0
20 Dec 2013
Dropout Training as Adaptive Regularization
Dropout Training as Adaptive Regularization
Stefan Wager
Sida I. Wang
Percy Liang
123
599
0
04 Jul 2013
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
101
539
0
29 May 2013
What Regularized Auto-Encoders Learn from the Data Generating
  Distribution
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Guillaume Alain
Yoshua Bengio
OOD
DRL
64
501
0
18 Nov 2012
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