ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.6806
  4. Cited By
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
ArXivPDFHTML

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

50 / 784 papers shown
Title
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
29
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
28
157
0
27 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing
  Negative Images
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Hossein Hosseini
Baicen Xiao
Mayoore S. Jaiswal
Radha Poovendran
19
121
0
20 Mar 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
45
5,865
0
04 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
33
1,628
0
03 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
343
10,633
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
27
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
414
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
29
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
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan
  Planes in Freehand Ultrasound
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
Christian F. Baumgartner
Konstantinos Kamnitsas
Jacqueline Matthew
Tara P. Fletcher
Sandra Smith
Lisa M. Koch
Bernhard Kainz
Daniel Rueckert
26
311
0
16 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
35
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
25
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
27
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
31
2,552
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
36
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
34
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
264
3,243
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
29
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
33
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
36
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
37
133
0
07 Nov 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
26
689
0
10 Oct 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
68
19,607
0
07 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
90
2,524
0
07 Oct 2016
Optimistic and Pessimistic Neural Networks for Scene and Object
  Recognition
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
René Grzeszick
Sebastian Sudholt
G. Fink
UQCV
36
4
0
26 Sep 2016
Production-Level Facial Performance Capture Using Deep Convolutional
  Neural Networks
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
S. Laine
Tero Karras
Timo Aila
Antti Herva
Shunsuke Saito
Ronald Yu
Hao Li
J. Lehtinen
CVBM
3DH
35
101
0
21 Sep 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
32
16
0
07 Sep 2016
Towards Transparent AI Systems: Interpreting Visual Question Answering
  Models
Towards Transparent AI Systems: Interpreting Visual Question Answering Models
Yash Goyal
Akrit Mohapatra
Devi Parikh
Dhruv Batra
25
74
0
31 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
333
36,420
0
25 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
23
119
0
22 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
71
8,460
0
16 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
20
303
0
09 Aug 2016
Early Methods for Detecting Adversarial Images
Early Methods for Detecting Adversarial Images
Dan Hendrycks
Kevin Gimpel
AAML
26
235
0
01 Aug 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
284
0
27 Jul 2016
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional
  Neural Network
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural Network
Diederik Paul Moeys
Federico Corradi
E. Kerr
P. Vance
Gautham P. Das
Daniel Neil
D. Kerr
T. Delbruck
27
116
0
30 Jun 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional
  Neural Networks
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Felix Grün
Christian Rupprecht
Nassir Navab
Federico Tombari
SSL
FAtt
38
76
0
24 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
32
161
0
21 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
31
23
0
16 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
132
8,552
0
15 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep
  Networks Look at the Same Regions?
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
32
465
0
11 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
24
225
0
08 Jun 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
41
199
0
30 May 2016
Previous
123...141516
Next