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

Striving for Simplicity: The All Convolutional Net

International Conference on Learning Representations (ICLR), 2014
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 / 1,917 papers shown
Unsupervised Textual Grounding: Linking Words to Image Concepts
Unsupervised Textual Grounding: Linking Words to Image Concepts
Raymond A. Yeh
Minh Do
Alex Schwing
123
44
0
29 Mar 2018
Quantum Entanglement in Deep Learning Architectures
Quantum Entanglement in Deep Learning Architectures
Yoav Levine
Or Sharir
Nadav Cohen
Amnon Shashua
295
199
0
26 Mar 2018
A high-bias, low-variance introduction to Machine Learning for
  physicists
A high-bias, low-variance introduction to Machine Learning for physicists
Pankaj Mehta
Marin Bukov
Ching-Hao Wang
A. G. Day
C. Richardson
Charles K. Fisher
D. Schwab
AI4CE
397
951
0
23 Mar 2018
Detecting Adversarial Perturbations with Saliency
Detecting Adversarial Perturbations with Saliency
Chiliang Zhang
Zhimou Yang
Zuochang Ye
AAML
90
33
0
23 Mar 2018
Towards Explanation of DNN-based Prediction with Guided Feature
  Inversion
Towards Explanation of DNN-based Prediction with Guided Feature Inversion
Mengnan Du
Ninghao Liu
Qingquan Song
Helen Zhou
FAtt
386
132
0
19 Mar 2018
Deep learning improved by biological activation functions
Deep learning improved by biological activation functions
Gardave S. Bhumbra
73
7
0
19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
384
861
0
19 Mar 2018
Image Colorization with Generative Adversarial Networks
Image Colorization with Generative Adversarial NetworksArticulated Motion and Deformable Objects (AMDO), 2018
Kamyar Nazeri
Eric Ng
Mehran Ebrahimi
GAN
247
155
0
14 Mar 2018
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image
  Classification
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image ClassificationLecture Notes in Computer Science (LNCS), 2018
Kamyar Nazeri
Azad Aminpour
Mehran Ebrahimi
188
268
0
11 Mar 2018
Deep Dictionary Learning: A PARametric NETwork Approach
Deep Dictionary Learning: A PARametric NETwork ApproachIEEE Transactions on Image Processing (IEEE TIP), 2018
Shahin Mahdizadehaghdam
Ashkan Panahi
Hamid Krim
Liyi Dai
177
70
0
11 Mar 2018
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
N. Gessert
M. Schlüter
Alexander Schlaefer
118
32
0
10 Mar 2018
Exponential Discriminative Metric Embedding in Deep Learning
Exponential Discriminative Metric Embedding in Deep Learning
Bowen Wu
Zhangling Chen
Jun Wang
Hua-Ming Wu
223
11
0
07 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
406
975
0
03 Mar 2018
Deep-neural-network based sinogram synthesis for sparse-view CT image
  reconstruction
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstructionIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2018
Hoyeon Lee
Jongha Lee
Hyeongseok Kim
B. Cho
Seungryong Cho
154
254
0
02 Mar 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
296
554
0
27 Feb 2018
Adaptive Deep Learning through Visual Domain Localization
Adaptive Deep Learning through Visual Domain Localization
G. Angeletti
Barbara Caputo
Tatiana Tommasi
OOD
153
23
0
24 Feb 2018
Training wide residual networks for deployment using a single bit for
  each weight
Training wide residual networks for deployment using a single bit for each weight
Mark D Mcdonnell
MQ
229
73
0
23 Feb 2018
Learning to Explain: An Information-Theoretic Perspective on Model
  Interpretation
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
Jianbo Chen
Le Song
Martin J. Wainwright
Sai Li
MLTFAtt
461
633
0
21 Feb 2018
Do deep nets really need weight decay and dropout?
Do deep nets really need weight decay and dropout?
Alex Hernández-García
Peter König
141
29
0
20 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu
Jeff Pool
Song Han
W. Dally
110
124
0
18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
170
45
0
17 Feb 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDLOODCLL
249
229
0
15 Feb 2018
Influence-Directed Explanations for Deep Convolutional Networks
Influence-Directed Explanations for Deep Convolutional Networks
Klas Leino
S. Sen
Anupam Datta
Matt Fredrikson
Linyi Li
TDIFAtt
200
80
0
11 Feb 2018
Understanding Convolutional Networks with APPLE : Automatic Patch
  Pattern Labeling for Explanation
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation
Sandeep Konam
Ian Quah
Stephanie Rosenthal
Manuela Veloso
FAtt
89
3
0
11 Feb 2018
Pros and Cons of GAN Evaluation Measures
Pros and Cons of GAN Evaluation Measures
Ali Borji
ELMEGVM
401
944
0
09 Feb 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
644
4,542
0
06 Feb 2018
Mixed Link Networks
Mixed Link Networks
Wenhai Wang
Xiang Li
Jian Yang
Tong Lu
121
57
0
06 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaMLHAI
376
886
0
02 Feb 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next
  Frontiers
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman
Minsuk Kahng
Robert S. Pienta
Duen Horng Chau
OODHAI
266
584
0
21 Jan 2018
FastNet
FastNet
John Olafenwa
Moses Olafenwa
50
1
0
17 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Zhiqiang Wang
173
323
0
16 Jan 2018
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen
Liang Feng
Orazio Gallo
Ming-Yuan Liu
Ashok Veeraraghavan
Jan Kautz
184
88
0
16 Jan 2018
Fix your classifier: the marginal value of training the last weight
  layer
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer
Itay Hubara
Daniel Soudry
303
104
0
14 Jan 2018
What have we learned from deep representations for action recognition?
What have we learned from deep representations for action recognition?
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
Andrew Zisserman
SSL
138
47
0
04 Jan 2018
Aggregated Channels Network for Real-Time Pedestrian Detection
Aggregated Channels Network for Real-Time Pedestrian Detection
Farzin Ghorban
Javier Marín
Yu Su
A. Colombo
A. Kummert
ObjD
169
16
0
01 Jan 2018
Improved Inception-Residual Convolutional Neural Network for Object
  Recognition
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
163
127
0
28 Dec 2017
Handwritten Bangla Character Recognition Using The State-of-Art Deep
  Convolutional Neural Networks
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks
Md. Zahangir Alom
P. Sidike
Mahmudul Hasan
T. Taha
V. Asari
196
6
0
28 Dec 2017
Towards dense object tracking in a 2D honeybee hive
Towards dense object tracking in a 2D honeybee hive
Katarzyna Bozek
Laetitia Hebert
A. Mikheyev
G. Stephens
VOT
149
49
0
22 Dec 2017
Attribute CNNs for Word Spotting in Handwritten Documents
Attribute CNNs for Word Spotting in Handwritten DocumentsInternational Journal on Document Analysis and Recognition (IJDAR), 2017
Sebastian Sudholt
G. Fink
132
57
0
20 Dec 2017
Finding Competitive Network Architectures Within a Day Using UCT
Finding Competitive Network Architectures Within a Day Using UCTInternational Conference on Data Science and Advanced Analytics (DSAA), 2017
Martin Wistuba
89
21
0
20 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
618
1,748
0
19 Dec 2017
Visual Explanation by Interpretation: Improving Visual Feedback
  Capabilities of Deep Neural Networks
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
José Oramas
Kaili Wang
Tinne Tuytelaars
XAIFAtt
286
68
0
18 Dec 2017
Visual Explanations from Hadamard Product in Multimodal Deep Networks
Visual Explanations from Hadamard Product in Multimodal Deep Networks
Jin-Hwa Kim
Byoung-Tak Zhang
FAtt
91
5
0
18 Dec 2017
NDT: Neual Decision Tree Towards Fully Functioned Neural Graph
NDT: Neual Decision Tree Towards Fully Functioned Neural Graph
Han Xiao
108
17
0
16 Dec 2017
Deep Koalarization: Image Colorization using CNNs and
  Inception-ResNet-v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Federico Baldassarre
Diego Gonzalez Morin
Lucas Rodés-Guirao
146
109
0
09 Dec 2017
Solving internal covariate shift in deep learning with linked neurons
Solving internal covariate shift in deep learning with linked neurons
Carles Roger Riera Molina
O. Vila
OffRL
109
3
0
07 Dec 2017
Take it in your stride: Do we need striding in CNNs?
Take it in your stride: Do we need striding in CNNs?
Chen Kong
Simon Lucey
95
21
0
07 Dec 2017
CNNs are Globally Optimal Given Multi-Layer Support
CNNs are Globally Optimal Given Multi-Layer Support
Chen Huang
Chen Kong
Simon Lucey
ODL
254
0
0
07 Dec 2017
Fruit recognition from images using deep learning
Fruit recognition from images using deep learning
H. Muresan
Mihai Oltean
725
424
0
02 Dec 2017
A Perceptual Measure for Deep Single Image Camera Calibration
A Perceptual Measure for Deep Single Image Camera Calibration
Yannick Hold-Geoffroy
Kalyan Sunkavalli
Jonathan Eisenmann
Matt Fisher
Emiliano Gambaretto
Sunil Hadap
Jean-François Lalonde
3DV
207
112
0
02 Dec 2017
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