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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
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
102
331
0
22 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust
  Tensor Network Decomposition
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong
W. Ng
C.-C. Jay Kuo
AAML
53
0
0
20 Nov 2018
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal
  Ultrasound Imaging
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging
Qingjie Meng
Matthew Sinclair
V. Zimmer
Benjamin Hou
Martin Rajchl
...
J. Housden
Jacqueline Matthew
Daniel Rueckert
Julia A. Schnabel
Bernhard Kainz
41
1
0
20 Nov 2018
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector
  Predictions
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions
Denis A. Gudovskiy
Alec Hodgkinson
Takuya Yamaguchi
Yasunori Ishii
Sotaro Tsukizawa
FAtt
74
13
0
19 Nov 2018
Sharpen Focus: Learning with Attention Separability and Consistency
Sharpen Focus: Learning with Attention Separability and Consistency
Lezi Wang
Ziyan Wu
Srikrishna Karanam
Kuan-Chuan Peng
Rajat Vikram Singh
Bo Liu
Dimitris N. Metaxas
100
36
0
19 Nov 2018
Accelerating the Evolution of Convolutional Neural Networks with
  Node-Level Mutations and Epigenetic Weight Initialization
Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization
Travis J. Desell
27
9
0
17 Nov 2018
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern
  Classification
Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification
C. Low
Jaewoo Park
Andrew Beng Jin Teoh
119
42
0
17 Nov 2018
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise
  Separable Convolution
PydMobileNet: Improved Version of MobileNets with Pyramid Depthwise Separable Convolution
Van-Thanh Hoang
K. Jo
58
3
0
17 Nov 2018
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic
Caifa Zhou
Jan Dirk Wegner
A. Wieser
3DPC3DV
105
462
0
16 Nov 2018
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN
  Features with a Feature Selector
Selective Feature Connection Mechanism: Concatenating Multi-layer CNN Features with a Feature Selector
Chen Du
Chunheng Wang
Yanna Wang
Cunzhao Shi
Baihua Xiao
51
43
0
15 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort
Jörn Hees
D. Patton
51
2
0
09 Nov 2018
Cross and Learn: Cross-Modal Self-Supervision
Cross and Learn: Cross-Modal Self-Supervision
Nawid Sayed
Biagio Brattoli
Bjorn Ommer
SSL
96
78
0
09 Nov 2018
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Wenbo Guo
Sui Huang
Yunzhe Tao
Masashi Sugiyama
Lin Lin
BDL
53
47
0
07 Nov 2018
A Biologically Plausible Learning Rule for Deep Learning in the Brain
A Biologically Plausible Learning Rule for Deep Learning in the Brain
Isabella Pozzi
Michael Felsberg
Fahad Shahbaz Khan
AI4CE
86
31
0
05 Nov 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst
  Homomorphic CNN on Encrypted Data with GPUs
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs
Ahmad Al Badawi
Jin Chao
Jie Lin
Chan Fook Mun
Sim Jun Jie
B. Tan
Xiao Nan
Khin Mi Mi Aung
V. Chandrasekhar
88
64
0
02 Nov 2018
Stochastic Normalizations as Bayesian Learning
Stochastic Normalizations as Bayesian Learning
Alexander Shekhovtsov
B. Flach
UQCVBDL
70
15
0
01 Nov 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection
Hybrid Knowledge Routed Modules for Large-scale Object Detection
Chenhan Jiang
Hang Xu
Xiangdan Liang
Liang Lin
VLMObjD
81
88
0
30 Oct 2018
DeepSphere: Efficient spherical Convolutional Neural Network with
  HEALPix sampling for cosmological applications
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications
Nathanael Perraudin
M. Defferrard
T. Kacprzak
R. Sgier
102
172
0
29 Oct 2018
Automatically Evolving CNN Architectures Based on Blocks
Automatically Evolving CNN Architectures Based on Blocks
Yizhou Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
58
27
0
28 Oct 2018
Fabrik: An Online Collaborative Neural Network Editor
Fabrik: An Online Collaborative Neural Network Editor
Utsav Garg
Viraj Prabhu
Deshraj Yadav
Ram Ramrakhya
Harsh Agrawal
Dhruv Batra
GNN
65
4
0
27 Oct 2018
Cross-Modal Distillation for RGB-Depth Person Re-Identification
Cross-Modal Distillation for RGB-Depth Person Re-Identification
Frank M. Hafner
Amran H. Bhuyian
Julian F. P. Kooij
Eric Granger
49
26
0
27 Oct 2018
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
A Volumetric Convolutional Neural Network for Brain Tumor Segmentation
Ryan Sherman
45
4
0
27 Oct 2018
Reducing over-smoothness in speech synthesis using Generative
  Adversarial Networks
Reducing over-smoothness in speech synthesis using Generative Adversarial Networks
Leyuan Sheng
Evgeny Nikolaevich Pavlovskiy
GAN
55
9
0
25 Oct 2018
Brand > Logo: Visual Analysis of Fashion Brands
Brand > Logo: Visual Analysis of Fashion Brands
M. Kiapour
Robinson Piramuthu
40
7
0
23 Oct 2018
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and
  Weakly Supervised Localization
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization
N. Gessert
S. Latus
Youssef S. Abdelwahed
D. Leistner
Matthias Lutz
Alexander Schlaefer
46
6
0
22 Oct 2018
Introducing Curvature to the Label Space
Introducing Curvature to the Label Space
Conor Sheehan
Ben Day
Pietro Lio
16
0
0
22 Oct 2018
Event-triggered Natural Hazard Monitoring with Convolutional Neural
  Networks on the Edge
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer
Timo Farei-Campagna
Akos Pasztor
Reto Da Forno
Tonio Gsell
Jérome Faillettaz
Andreas Vieli
S. Weber
J. Beutel
Lothar Thiele
40
35
0
22 Oct 2018
Detecting cities in aerial night-time images by learning structural
  invariants using single reference augmentation
Detecting cities in aerial night-time images by learning structural invariants using single reference augmentation
P. Sadler
3DPC
35
1
0
19 Oct 2018
Sequenced-Replacement Sampling for Deep Learning
Sequenced-Replacement Sampling for Deep Learning
C. Ho
Dae Hoon Park
Wei Yang
Yi Chang
35
0
0
19 Oct 2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in
  Higher Dimensions
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Muhammad Kamran Janjua
Shah Nawaz
Alessandro Calefati
I. Gallo
23
0
0
16 Oct 2018
A Closer Look at Structured Pruning for Neural Network Compression
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley
Jack Turner
Amos Storkey
Michael F. P. O'Boyle
3DPC
80
31
0
10 Oct 2018
Automatic Configuration of Deep Neural Networks with EGO
Automatic Configuration of Deep Neural Networks with EGO
Bas van Stein
Hao Wang
Thomas Bäck
18
17
0
10 Oct 2018
What made you do this? Understanding black-box decisions with sufficient
  input subsets
What made you do this? Understanding black-box decisions with sufficient input subsets
Brandon Carter
Jonas W. Mueller
Siddhartha Jain
David K Gifford
FAtt
90
78
0
09 Oct 2018
Deep Learning with the Random Neural Network and its Applications
Deep Learning with the Random Neural Network and its Applications
Yonghua Yin
22
10
0
08 Oct 2018
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to
  Parameter Values
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
Julius Adebayo
Justin Gilmer
Ian Goodfellow
Been Kim
FAttAAML
79
129
0
08 Oct 2018
Sanity Checks for Saliency Maps
Sanity Checks for Saliency Maps
Julius Adebayo
Justin Gilmer
M. Muelly
Ian Goodfellow
Moritz Hardt
Been Kim
FAttAAMLXAI
203
1,973
0
08 Oct 2018
Hartley Spectral Pooling for Deep Learning
Hartley Spectral Pooling for Deep Learning
Huatian Zhang
Jianwei Ma
66
25
0
07 Oct 2018
Text-based Sentiment Analysis and Music Emotion Recognition
Text-based Sentiment Analysis and Music Emotion Recognition
Erion Çano
27
6
0
06 Oct 2018
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural
  Network
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network
Masayuki Tanaka
63
56
0
03 Oct 2018
Interpreting Layered Neural Networks via Hierarchical Modular
  Representation
Interpreting Layered Neural Networks via Hierarchical Modular Representation
C. Watanabe
84
19
0
03 Oct 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss
Chris Finlay
Adam M. Oberman
B. Abbasi
80
34
0
01 Oct 2018
Interpretable Spatio-temporal Attention for Video Action Recognition
Interpretable Spatio-temporal Attention for Video Action Recognition
Lili Meng
Bo Zhao
B. Chang
Gao Huang
Wei Sun
Fred Tung
Leonid Sigal
103
83
0
01 Oct 2018
Adversarial Attacks and Defences: A Survey
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAMLOOD
148
683
0
28 Sep 2018
Rethinking Self-driving: Multi-task Knowledge for Better Generalization
  and Accident Explanation Ability
Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability
Zhihao Li
Toshiyuki Motoyoshi
Kazuma Sasaki
T. Ogata
S. Sugano
LRM
77
39
0
28 Sep 2018
Automatic brain tumor grading from MRI data using convolutional neural
  networks and quality assessment
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
Sérgio Pereira
Raphael Meier
Victor Alves
M. Reyes
Carlos Alberto Silva
50
80
0
25 Sep 2018
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy
  Images of Human Cervical Tissue
Computer-Aided Diagnosis of Label-Free 3-D Optical Coherence Microscopy Images of Human Cervical Tissue
Yutao Ma
Tao Xu
Xiaolei Huang
Xiaofang Wang
Canyu Li
...
Baojin Wang
Yihong Wang
Zhan Zhang
Xiaoan Zhang
Chao Zhou
55
26
0
17 Sep 2018
Scattering Networks for Hybrid Representation Learning
Scattering Networks for Hybrid Representation Learning
Edouard Oyallon
Sergey Zagoruyko
Gabriel Huang
N. Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky
66
86
0
17 Sep 2018
Non-iterative recomputation of dense layers for performance improvement
  of DCNN
Non-iterative recomputation of dense layers for performance improvement of DCNN
Yimin Yang
Q. M. J. Wu
Xiexing Feng
Akilan Thangarajah
23
2
0
14 Sep 2018
Deep Learning in Information Security
Deep Learning in Information Security
S. Thaler
Vlado Menkovski
M. Petković
63
10
0
12 Sep 2018
Abstraction Learning
Abstraction Learning
Fei Deng
Jinsheng Ren
Feng Chen
3DHOCL
13
0
0
11 Sep 2018
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