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Stacked What-Where Auto-encoders
v1v2v3v4v5v6v7v8 (latest)

Stacked What-Where Auto-encoders

8 June 2015
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
    DiffMBDL
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Papers citing "Stacked What-Where Auto-encoders"

50 / 101 papers shown
Title
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled
  Images
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images
Avi Singh
Larry Yang
Sergey Levine
61
23
0
07 Aug 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
99
73
0
31 Jul 2017
A selectional auto-encoder approach for document image binarization
A selectional auto-encoder approach for document image binarization
Jorge Calvo-Zaragoza
Antonio Javier Gallego
52
145
0
30 Jun 2017
Learning to Extract Semantic Structure from Documents Using Multimodal
  Fully Convolutional Neural Network
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang
Ersin Yumer
P. Asente
Mike Kraley
Daniel Kifer
C. Lee Giles
78
230
0
07 Jun 2017
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser
A. Mordvintsev
Daniel Cremers
BDL
80
121
0
03 Jun 2017
Unsupervised Learning of Disentangled Representations from Video
Unsupervised Learning of Disentangled Representations from Video
Emily L. Denton
Vighnesh Birodkar
DRLCoGeOOD
113
554
0
31 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved
  Inference
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference
Abhishek Kumar
P. Sattigeri
P. T. Fletcher
GAN
89
42
0
24 May 2017
Towards Understanding the Invertibility of Convolutional Neural Networks
Towards Understanding the Invertibility of Convolutional Neural Networks
A. Gilbert
Yi Zhang
Kibok Lee
Y. Zhang
Honglak Lee
84
64
0
24 May 2017
Self-supervised learning of visual features through embedding images
  into text topic spaces
Self-supervised learning of visual features through embedding images into text topic spaces
L. G. I. Bigorda
Yash J. Patel
Marçal Rusiñol
Dimosthenis Karatzas
C. V. Jawahar
SSL
72
124
0
24 May 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and
  Relative Entropy Minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong (Tom) Cai
Heng-Chiao Huang
85
524
0
20 Apr 2017
Unsupervised Learning by Predicting Noise
Unsupervised Learning by Predicting Noise
Piotr Bojanowski
Armand Joulin
OODSSL
74
296
0
18 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
153
2,748
0
13 Apr 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
84
162
0
27 Mar 2017
Deep generative-contrastive networks for facial expression recognition
Deep generative-contrastive networks for facial expression recognition
Youngsung Kim
ByungIn Yoo
Youngjun Kwak
Changkyu Choi
Junmo Kim
CVBM
70
89
0
21 Mar 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
124
352
0
23 Jan 2017
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in
  Caffe
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe
V. Turchenko
Eric Chalmers
Artur Luczak
SSL
56
74
0
18 Jan 2017
MARTA GANs: Unsupervised Representation Learning for Remote Sensing
  Image Classification
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Daoyu Lin
Kun Fu
Yang Wang
Guangluan Xu
Xian Sun
GAN
78
174
0
28 Dec 2016
Stacked Generative Adversarial Networks
Stacked Generative Adversarial Networks
Xun Huang
Yixuan Li
Omid Poursaeed
John E. Hopcroft
Serge J. Belongie
GAN
109
459
0
13 Dec 2016
Deep TEN: Texture Encoding Network
Deep TEN: Texture Encoding Network
Hang Zhang
Jia Xue
Kristin J. Dana
3DV
153
232
0
08 Dec 2016
ExtremeWeather: A large-scale climate dataset for semi-supervised
  detection, localization, and understanding of extreme weather events
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah
Christopher Beckham
Tegan Maharaj
Samira Ebrahimi Kahou
P. Prabhat
C. Pal
115
18
0
07 Dec 2016
Semi-Supervised Learning with the Deep Rendering Mixture Model
Semi-Supervised Learning with the Deep Rendering Mixture Model
M. T. Nguyen
Wanjia Liu
Ethan Perez
Richard G. Baraniuk
Ankit B. Patel
BDL
108
9
0
06 Dec 2016
A Probabilistic Framework for Deep Learning
A Probabilistic Framework for Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
120
68
0
06 Dec 2016
Identifying and Categorizing Anomalies in Retinal Imaging Data
Identifying and Categorizing Anomalies in Retinal Imaging Data
Philipp Seeböck
S. Waldstein
S. Klimscha
Bianca S. Gerendas
R. Donner
T. Schlegl
U. Schmidt-Erfurth
Georg Langs
MedIm
84
53
0
02 Dec 2016
Spatial contrasting for deep unsupervised learning
Spatial contrasting for deep unsupervised learning
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
84
3
0
21 Nov 2016
Semi-Supervised Learning with Context-Conditional Generative Adversarial
  Networks
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks
Emily L. Denton
Sam Gross
Rob Fergus
GAN
90
152
0
19 Nov 2016
S3Pool: Pooling with Stochastic Spatial Sampling
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Y. Lu
Zhongfei Zhang
Rogerio Feris
58
79
0
16 Nov 2016
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
116
880
0
11 Nov 2016
Disentangling factors of variation in deep representations using
  adversarial training
Disentangling factors of variation in deep representations using adversarial training
Michaël Mathieu
Jiaqi Zhao
Pablo Sprechmann
Aditya A. Ramesh
Yann LeCun
DRLCML
145
490
0
10 Nov 2016
Semi-supervised deep learning by metric embedding
Semi-supervised deep learning by metric embedding
Elad Hoffer
Nir Ailon
SSL
75
27
0
04 Nov 2016
Deep unsupervised learning through spatial contrasting
Deep unsupervised learning through spatial contrasting
Elad Hoffer
Itay Hubara
Nir Ailon
SSL
96
22
0
02 Oct 2016
Nonnegative autoencoder with simplified random neural network
Nonnegative autoencoder with simplified random neural network
Yonghua Yin
E. Gelenbe
85
15
0
25 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
80
459
0
22 Sep 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
123
385
0
22 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
166
1,115
0
11 Sep 2016
Improved Deep Learning of Object Category using Pose Information
Improved Deep Learning of Object Category using Pose Information
Jiaping Zhao
Laurent Itti
62
9
0
20 Jul 2016
Augmenting Supervised Neural Networks with Unsupervised Objectives for
  Large-scale Image Classification
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
Y. Zhang
Kibok Lee
Honglak Lee
SSL
113
143
0
21 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
490
9,085
0
10 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
101
1,316
0
02 Jun 2016
Recursive Autoconvolution for Unsupervised Learning of Convolutional
  Neural Networks
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural Networks
Boris Knyazev
Erhardt Barth
T. Martinetz
SSL
40
0
0
02 Jun 2016
Walk and Learn: Facial Attribute Representation Learning from Egocentric
  Video and Contextual Data
Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Jing Wang
Yu Cheng
Rogerio Feris
EgoVCVBM
80
116
0
21 Apr 2016
Learning Temporal Regularity in Video Sequences
Learning Temporal Regularity in Video Sequences
Mahmudul Hasan
Jonghyun Choi
J. Neumann
Amit K. Roy-Chowdhury
L. Davis
184
1,109
0
15 Apr 2016
Stacked Hourglass Networks for Human Pose Estimation
Stacked Hourglass Networks for Human Pose Estimation
Alejandro Newell
Kaiyu Yang
Jia Deng
3DH
127
5,042
0
22 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
76
506
0
16 Mar 2016
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment
  using Deep Neural Networks
Revealing Fundamental Physics from the Daya Bay Neutrino Experiment using Deep Neural Networks
Evan Racah
Seyoon Ko
Peter Sadowski
W. Bhimji
C. Tull
Sang-Yun Oh
Pierre Baldi
P. Prabhat
78
32
0
28 Jan 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
194
2,079
0
31 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
325
14,045
0
19 Nov 2015
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
84
84
0
19 Nov 2015
Deep Linear Discriminant Analysis
Deep Linear Discriminant Analysis
Matthias Dorfer
Rainer Kelz
Gerhard Widmer
93
135
0
15 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
123
31
0
11 Nov 2015
Deep Spatial Autoencoders for Visuomotor Learning
Deep Spatial Autoencoders for Visuomotor Learning
Chelsea Finn
X. Tan
Yan Duan
Trevor Darrell
Sergey Levine
Pieter Abbeel
SSL
84
552
0
21 Sep 2015
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