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Denoising Autoencoders for Overgeneralization in Neural Networks

Denoising Autoencoders for Overgeneralization in Neural Networks

14 September 2017
G. Spigler
    UQCV
    AI4CE
ArXivPDFHTML

Papers citing "Denoising Autoencoders for Overgeneralization in Neural Networks"

14 / 14 papers shown
Title
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
256
8,876
0
25 Aug 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
145
3,441
0
07 Oct 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
133
1,114
0
11 Sep 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
257
11,145
0
14 Mar 2016
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
101
1,420
0
19 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
243
19,017
0
20 Dec 2014
Towards Open World Recognition
Towards Open World Recognition
Abhijit Bendale
Terrance Boult
76
564
0
18 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
155
3,270
0
05 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,472
0
01 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
249
14,912
1
21 Dec 2013
Generalized Denoising Auto-Encoders as Generative Models
Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio
L. Yao
Guillaume Alain
Pascal Vincent
101
540
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
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
Manqi Zhao
Venkatesh Saligrama
75
116
0
28 Oct 2009
1