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Striving for Simplicity: The All Convolutional Net
v1v2v3 (latest)

Striving for Simplicity: The All Convolutional Net

21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Striving for Simplicity: The All Convolutional Net"

50 / 1,866 papers shown
Title
Finding Better Topologies for Deep Convolutional Neural Networks by
  Evolution
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution
Honglei Zhang
S. Kiranyaz
Moncef Gabbouj
41
21
0
10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
158
125
0
10 Sep 2018
Travel Speed Prediction with a Hierarchical Convolutional Neural Network
  and Long Short-Term Memory Model Framework
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
Wei Wang
Xucheng Li
42
5
0
06 Sep 2018
Unsupervised Learning of View-invariant Action Representations
Unsupervised Learning of View-invariant Action Representations
Junnan Li
Yongkang Wong
Qi Zhao
Mohan Kankanhalli
SSL
97
100
0
06 Sep 2018
Data Dropout: Optimizing Training Data for Convolutional Neural Networks
Data Dropout: Optimizing Training Data for Convolutional Neural Networks
Tianyang Wang
Jun Huan
Bo Li
OOD
74
57
0
01 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only
  Unlabeled Data
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Nan Lu
Gang Niu
A. Menon
Masashi Sugiyama
MQ
94
88
0
31 Aug 2018
Notes on Deep Learning for NLP
Notes on Deep Learning for NLP
A. Tixier
VLM
64
15
0
29 Aug 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do
  They Discover Linguistic Rules?
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
Kris Demuynck
J. Dambre
W. D. Neve
T. Demeester
AI4CE
82
17
0
28 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
81
10
0
27 Aug 2018
DeepTracker: Visualizing the Training Process of Convolutional Neural
  Networks
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks
Dongyu Liu
Weiwei Cui
Kai Jin
Yuxiao Guo
Huamin Qu
HAI
53
35
0
26 Aug 2018
Adversarial Sampling for Active Learning
Adversarial Sampling for Active Learning
Christoph Mayer
Radu Timofte
GAN
150
117
0
20 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Tangent-Normal Adversarial Regularization for Semi-supervised Learning
Ting Yu
Jingfeng Wu
Jinwen Ma
Zhanxing Zhu
58
35
0
18 Aug 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a
  Reference to Train Distilled Stain-Invariant Convolutional Networks
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks
David Tellez
M. Balkenhol
I. Otte-Höller
Rob van de Loo
R. Vogels
...
S. Mol
N. Karssemeijer
G. Litjens
J. A. van der Laak
F. Ciompi
68
246
0
17 Aug 2018
Genre-Agnostic Key Classification With Convolutional Neural Networks
Genre-Agnostic Key Classification With Convolutional Neural Networks
Filip Korzeniowski
Gerhard Widmer
39
31
0
16 Aug 2018
iNNvestigate neural networks!
iNNvestigate neural networks!
Maximilian Alber
Sebastian Lapuschkin
P. Seegerer
Miriam Hagele
Kristof T. Schütt
G. Montavon
Wojciech Samek
K. Müller
Sven Dähne
Pieter-Jan Kindermans
79
348
0
13 Aug 2018
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
90
615
0
11 Aug 2018
Deep Learning for Single Image Super-Resolution: A Brief Review
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang
Xuechen Zhang
Yapeng Tian
Wei Wang
Jing-Hao Xue
60
909
0
09 Aug 2018
Classifier-Guided Visual Correction of Noisy Labels for Image
  Classification Tasks
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks
Alex Bauerle
Heiko Neumann
Timo Ropinski
VLMNoLa
33
4
0
09 Aug 2018
Visualizing Convolutional Networks for MRI-based Diagnosis of
  Alzheimer's Disease
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease
J. Rieke
Fabian Eitel
M. Weygandt
J. Haynes
K. Ritter
FAtt
70
86
0
08 Aug 2018
Learning Multi-scale Features for Foreground Segmentation
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim
H. Keles
SSeg
62
179
0
04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class
  Impressions
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Konda Reddy Mopuri
P. Uppala
R. Venkatesh Babu
AAML
83
85
0
03 Aug 2018
Techniques for Interpretable Machine Learning
Techniques for Interpretable Machine Learning
Mengnan Du
Ninghao Liu
Helen Zhou
FaML
101
1,095
0
31 Jul 2018
Unbounded Output Networks for Classification
Unbounded Output Networks for Classification
Stefan Elfwing
E. Uchibe
Kenji Doya
36
0
0
25 Jul 2018
Explainable Neural Computation via Stack Neural Module Networks
Explainable Neural Computation via Stack Neural Module Networks
Ronghang Hu
Jacob Andreas
Trevor Darrell
Kate Saenko
LRMOCL
108
199
0
23 Jul 2018
Explaining Image Classifiers by Counterfactual Generation
Explaining Image Classifiers by Counterfactual Generation
C. Chang
Elliot Creager
Anna Goldenberg
David Duvenaud
VLM
85
266
0
20 Jul 2018
Adaptive Neural Trees
Adaptive Neural Trees
Ryutaro Tanno
Kai Arulkumaran
Daniel C. Alexander
A. Criminisi
A. Nori
428
168
0
17 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for
  Semantic Segmentation of Colorectal Polyps
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps
Kristoffer Wickstrøm
Michael C. Kampffmeyer
Robert Jenssen
UQCV
87
77
0
16 Jul 2018
Manifold Adversarial Learning
Manifold Adversarial Learning
Shufei Zhang
Kaizhu Huang
Jianke Zhu
Yang Liu
OODAAML
59
5
0
16 Jul 2018
Model Reconstruction from Model Explanations
Model Reconstruction from Model Explanations
S. Milli
Ludwig Schmidt
Anca Dragan
Moritz Hardt
FAtt
64
179
0
13 Jul 2018
Large-Scale Visual Speech Recognition
Large-Scale Visual Speech Recognition
Brendan Shillingford
Yannis Assael
Matthew W. Hoffman
T. Paine
Cían Hughes
...
Marie Mulville
Ben Coppin
Ben Laurie
A. Senior
Nando de Freitas
95
155
0
13 Jul 2018
Deep Learning in the Wild
Deep Learning in the Wild
Thilo Stadelmann
Mohammadreza Amirian
Ismail Arabaci
M. Arnold
G. Duivesteijn
...
Melanie Geiger
Stefan Lörwald
B. Meier
Katharina Rombach
Lukas Tuggener
67
42
0
13 Jul 2018
A feature agnostic approach for glaucoma detection in OCT volumes
A feature agnostic approach for glaucoma detection in OCT volumes
S. Maetschke
B. Antony
H. Ishikawa
Gadi Wollstein
Joel S. Schuman
Rahil Garvani
72
168
0
12 Jul 2018
Automatically Composing Representation Transformations as a Means for
  Generalization
Automatically Composing Representation Transformations as a Means for Generalization
Michael Chang
Abhishek Gupta
Sergey Levine
Thomas Griffiths
85
70
0
12 Jul 2018
Assessing the Scalability of Biologically-Motivated Deep Learning
  Algorithms and Architectures
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures
Sergey Bartunov
Adam Santoro
Blake A. Richards
Luke Marris
Geoffrey E. Hinton
Timothy Lillicrap
109
244
0
12 Jul 2018
Presentation Attack Detection for Cadaver Iris
Presentation Attack Detection for Cadaver Iris
Mateusz Trokielewicz
A. Czajka
P. Maciejewicz
CVBM
52
24
0
11 Jul 2018
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs
  Machines
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines
Mateusz Trokielewicz
A. Czajka
P. Maciejewicz
CVBM
130
2
0
11 Jul 2018
The Helmholtz Method: Using Perceptual Compression to Reduce Machine
  Learning Complexity
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity
Gerald Friedland
Jingkang Wang
R. Jia
Yue Liu
40
2
0
10 Jul 2018
Densely Connected CNNs for Bird Audio Detection
Densely Connected CNNs for Bird Audio Detection
Thomas Pellegrini
54
32
0
08 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning
End-to-End Race Driving with Deep Reinforcement Learning
M. Jaritz
Raoul de Charette
Marin Toromanoff
E. Perot
F. Nashashibi
60
169
0
06 Jul 2018
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data:
  Saliency from Objectness vs. Non-Objectness
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness
Nevrez Imamoglu
Wataru Shimoda
Chi Zhang
Yuming Fang
Asako Kanezaki
Keiji Yanai
Y. Nishida
FAtt
36
7
0
04 Jul 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
103
53
0
03 Jul 2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in
  Predator-Prey Robot Chasing
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys
Daniel Neil
Federico Corradi
E. Kerr
P. Vance
Gautham P. Das
S. Coleman
T. McGinnity
D. Kerr
T. Delbruck
50
13
0
02 Jul 2018
A Benchmark for Interpretability Methods in Deep Neural Networks
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker
D. Erhan
Pieter-Jan Kindermans
Been Kim
FAttUQCV
134
684
0
28 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
316
1,191
0
27 Jun 2018
Adversarial Distillation of Bayesian Neural Network Posteriors
Adversarial Distillation of Bayesian Neural Network Posteriors
Kuan-Chieh Wang
Paul Vicol
James Lucas
Li Gu
Roger C. Grosse
R. Zemel
UQCVGANAAMLBDL
71
56
0
27 Jun 2018
Gradient Adversarial Training of Neural Networks
Gradient Adversarial Training of Neural Networks
Ayan Sinha
Zhao Chen
Vijay Badrinarayanan
Andrew Rabinovich
AAML
63
33
0
21 Jun 2018
Como funciona o Deep Learning
Como funciona o Deep Learning
M. Ponti
G. B. P. D. Costa
44
14
0
20 Jun 2018
Maximally Invariant Data Perturbation as Explanation
Maximally Invariant Data Perturbation as Explanation
Satoshi Hara
Kouichi Ikeno
Tasuku Soma
Takanori Maehara
AAML
72
8
0
19 Jun 2018
In situ TensorView: In situ Visualization of Convolutional Neural
  Networks
In situ TensorView: In situ Visualization of Convolutional Neural Networks
Xinyu Chen
Qiang Guan
Li-Ta Lo
S. Su
J. Ahrens
Trilce Estrada
GNNViT
23
1
0
16 Jun 2018
Three dimensional Deep Learning approach for remote sensing image
  classification
Three dimensional Deep Learning approach for remote sensing image classification
A. Ben Hamida
A. Benoît
P. Lambert
C. Ben Amar
105
587
0
15 Jun 2018
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