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Striving for Simplicity: The All Convolutional Net

Striving for Simplicity: The All Convolutional Net

21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
    FAtt
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Papers citing "Striving for Simplicity: The All Convolutional Net"

50 / 697 papers shown
Title
An Analysis of Human-centered Geolocation
An Analysis of Human-centered Geolocation
Kaili Wang
Yu-Hui Huang
José Oramas
Luc Van Gool
Tinne Tuytelaars
29
6
0
10 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
33
81
0
10 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas J. Guibas
3DV
3DPC
36
88
0
08 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Teaching Compositionality to CNNs
Teaching Compositionality to CNNs
Austin Stone
Hua-Yan Wang
Michael Stark
Yi Liu
D. Phoenix
Dileep George
CoGe
8
54
0
14 Jun 2017
Transfer entropy-based feedback improves performance in artificial
  neural networks
Transfer entropy-based feedback improves performance in artificial neural networks
S. Herzog
Christian Tetzlaff
F. Worgotter
29
7
0
13 Jun 2017
SmoothGrad: removing noise by adding noise
SmoothGrad: removing noise by adding noise
D. Smilkov
Nikhil Thorat
Been Kim
F. Viégas
Martin Wattenberg
FAtt
ODL
40
2,204
0
12 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
11
5
0
08 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using
  Generative Adversarial Networks
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
M. Mustafa
Deborah Bard
W. Bhimji
Z. Lukić
Rami Al-Rfou
J. Kratochvil
GAN
19
123
0
07 Jun 2017
Are Saddles Good Enough for Deep Learning?
Are Saddles Good Enough for Deep Learning?
Adepu Ravi Sankar
V. Balasubramanian
35
5
0
07 Jun 2017
Neuron Segmentation Using Deep Complete Bipartite Networks
Neuron Segmentation Using Deep Complete Bipartite Networks
Jianxu Chen
Sreya Banerjee
Abhinav Grama
Walter J. Scheirer
Danny Chen
30
17
0
31 May 2017
Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
38
188
0
27 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
11
1,196
0
25 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
32
1,842
0
20 May 2017
Learning how to explain neural networks: PatternNet and
  PatternAttribution
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans
Kristof T. Schütt
Maximilian Alber
K. Müller
D. Erhan
Been Kim
Sven Dähne
XAI
FAtt
21
338
0
16 May 2017
Generative Adversarial Trainer: Defense to Adversarial Perturbations
  with GAN
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN
Hyeungill Lee
Sungyeob Han
Jungwoo Lee
AAML
GAN
8
149
0
09 May 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
21
93
0
05 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
20
38
0
05 May 2017
A Deep Learning Perspective on the Origin of Facial Expressions
A Deep Learning Perspective on the Origin of Facial Expressions
R. Breuer
Ron Kimmel
HAI
26
100
0
04 May 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Deep Relaxation: partial differential equations for optimizing deep
  neural networks
Deep Relaxation: partial differential equations for optimizing deep neural networks
Pratik Chaudhari
Adam M. Oberman
Stanley Osher
Stefano Soatto
G. Carlier
27
153
0
17 Apr 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR)
  Approach to Understanding Deep Neural Networks
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks
Devinder Kumar
Alexander Wong
Graham W. Taylor
29
59
0
13 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
45
935
0
01 Apr 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
26
171
0
27 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
20
157
0
27 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
36
5,863
0
04 Mar 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo
Gang Niu
M. C. D. Plessis
Masashi Sugiyama
33
468
0
02 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
316
10,621
0
19 Feb 2017
One-Step Time-Dependent Future Video Frame Prediction with a
  Convolutional Encoder-Decoder Neural Network
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network
Vedran Vukotic
S. Pintea
C. Raymond
G. Gravier
Jan van Gemert
26
46
0
14 Feb 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
Ryo Takahashi
Takashi Matsubara
K. Uehara
OOD
30
21
0
12 Feb 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
21
15
0
29 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
33
413
0
11 Jan 2017
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Unsupervised Learning of Long-Term Motion Dynamics for Videos
Zelun Luo
Boya Peng
De-An Huang
Alexandre Alahi
Li Fei-Fei
SSL
32
193
0
07 Jan 2017
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
26
214
0
22 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
On the Potential of Simple Framewise Approaches to Piano Transcription
On the Potential of Simple Framewise Approaches to Piano Transcription
Rainer Kelz
Matthias Dorfer
Filip Korzeniowski
Sebastian Böck
A. Arzt
Gerhard Widmer
30
124
0
15 Dec 2016
Feature Learning for Chord Recognition: The Deep Chroma Extractor
Feature Learning for Chord Recognition: The Deep Chroma Extractor
Filip Korzeniowski
Gerhard Widmer
22
81
0
15 Dec 2016
Towards Score Following in Sheet Music Images
Towards Score Following in Sheet Music Images
Matthias Dorfer
A. Arzt
Gerhard Widmer
19
49
0
15 Dec 2016
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
14
2,550
0
12 Dec 2016
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Jianxu Chen
C. Srinivas
37
31
0
09 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
19
1,451
0
07 Dec 2016
A Probabilistic Framework for Deep Learning
A Probabilistic Framework for Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDL
21
67
0
06 Dec 2016
Short-term traffic flow forecasting with spatial-temporal correlation in
  a hybrid deep learning framework
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu
Huachun Tan
AI4TS
34
248
0
03 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
261
3,240
0
24 Nov 2016
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
Sanghoon Hong
Byungseok Roh
Kye-Hyeon Kim
Yeongjae Cheon
Minje Park
ObjD
20
82
0
23 Nov 2016
On the Exploration of Convolutional Fusion Networks for Visual
  Recognition
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Y. Liu
Yanming Guo
M. Lew
28
23
0
16 Nov 2016
VisualBackProp: efficient visualization of CNNs
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
Karol Zieba
FAtt
33
74
0
16 Nov 2016
Identity Matters in Deep Learning
Identity Matters in Deep Learning
Moritz Hardt
Tengyu Ma
OOD
25
398
0
14 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
35
133
0
07 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
41
19,576
0
07 Oct 2016
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