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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
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples
  While Maintaining Model-to-model Transferability
Regional Image Perturbation Reduces LpL_pLp​ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Utku Ozbulak
Jonathan Peck
W. D. Neve
Bart Goossens
Yvan Saeys
Arnout Van Messem
AAML
34
2
0
07 Jul 2020
ARC-Net: Activity Recognition Through Capsules
ARC-Net: Activity Recognition Through Capsules
H. Damirchi
Rooholla Khorrambakht
H. Taghirad
HAI
30
13
0
06 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via
  Differential Inclusion Paths
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Yanwei Fu
Chen Liu
Donghao Li
Xinwei Sun
Jinshan Zeng
Yuan Yao
39
9
0
04 Jul 2020
M3d-CAM: A PyTorch library to generate 3D data attention maps for
  medical deep learning
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
Karol Gotkowski
Camila González
A. Bucher
Anirban Mukhopadhyay
3DPCMedIm
21
46
0
01 Jul 2020
Future Urban Scenes Generation Through Vehicles Synthesis
Future Urban Scenes Generation Through Vehicles Synthesis
A. Simoni
Luca Bergamini
Andrea Palazzi
Simone Calderara
Rita Cucchiara
31
3
0
01 Jul 2020
A Data-driven Neural Network Architecture for Sentiment Analysis
A Data-driven Neural Network Architecture for Sentiment Analysis
Erion Çano
M. Morisio
27
12
0
30 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in
  Classification
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy
Sijia Liu
Gaoyuan Zhang
Cynthia Liu
Pin-Yu Chen
Shiyu Chang
Luca Daniel
AAMLFAtt
123
66
0
26 Jun 2020
Influence Functions in Deep Learning Are Fragile
Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
Soheil Feizi
TDI
156
237
0
25 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
Haofan Wang
Rakshit Naidu
J. Michael
Soumya Snigdha Kundu
FAtt
126
80
0
25 Jun 2020
Interpretation of 3D CNNs for Brain MRI Data Classification
Interpretation of 3D CNNs for Brain MRI Data Classification
M. Kan
Ruslan Aliev́
A. Rudenko
Nikita Drobyshev
Nikita Petrashen
E. Kondrateva
M. Sharaev
A. Bernstein
Evgeny Burnaev
DiffM
46
0
0
20 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable
  AI
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
97
31
0
19 Jun 2020
A generalizable saliency map-based interpretation of model outcome
A generalizable saliency map-based interpretation of model outcome
Shailja Thakur
S. Fischmeister
AAMLFAttMILM
37
2
0
16 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural
  Networks
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAttGNNMedIm
66
36
0
16 Jun 2020
Interpretable multimodal fusion networks reveal mechanisms of brain
  cognition
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu
Xianghe Meng
Yuntong Bai
Aiying Zhang
Biao Cai
Gemeng Zhang
T. Wilson
Julia M. Stephen
Vince D. Calhoun
Yu-Ping Wang
36
40
0
16 Jun 2020
An empirical study on using CNNs for fast radio signal prediction
An empirical study on using CNNs for fast radio signal prediction
Ozan Ozyegen
Sanaz Mohammadjafari
Karim El mokhtari
Mucahit Cevik
J. Ethier
Ayse Basar
63
13
0
16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and
  Adversarial Robustness
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAMLFAtt
184
39
0
16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
182
608
0
16 Jun 2020
ICAM: Interpretable Classification via Disentangled Representations and
  Feature Attribution Mapping
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass
Mariana da Silva
Carole Sudre
Petru-Daniel Tudosiu
Stephen M. Smith
E. C. Robinson
FAtt
58
40
0
15 Jun 2020
Classifying degraded images over various levels of degradation
Classifying degraded images over various levels of degradation
Kazuki Endo
Masayuki Tanaka
Masatoshi Okutomi
31
15
0
15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural
  Networks
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks
Sarada Krithivasan
Sanchari Sen
A. Raghunathan
AAML
37
1
0
14 Jun 2020
On Saliency Maps and Adversarial Robustness
On Saliency Maps and Adversarial Robustness
Puneet Mangla
Vedant Singh
V. Balasubramanian
AAML
47
17
0
14 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density
  Ratio Estimation
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato
Takeshi Teshima
96
36
0
12 Jun 2020
Multi Layer Neural Networks as Replacement for Pooling Operations
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl
Enkelejda Kasneci
82
10
0
12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
108
6
0
11 Jun 2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods
3D Point Cloud Feature Explanations Using Gradient-Based Methods
A. Gupta
Simon Watson
Hujun Yin
3DPC
46
28
0
09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation
Adversarial Infidelity Learning for Model Interpretation
Jian Liang
Bing Bai
Yuren Cao
Kun Bai
Fei Wang
AAML
103
18
0
09 Jun 2020
The Curious Case of Convex Neural Networks
The Curious Case of Convex Neural Networks
S. Sivaprasad
Ankur Singh
Naresh Manwani
Vineet Gandhi
112
27
0
09 Jun 2020
The Penalty Imposed by Ablated Data Augmentation
The Penalty Imposed by Ablated Data Augmentation
Frederick Liu
A. Najmi
Mukund Sundararajan
56
6
0
08 Jun 2020
Discovering Parametric Activation Functions
Discovering Parametric Activation Functions
G. Bingham
Risto Miikkulainen
ODL
74
73
0
05 Jun 2020
Robust Sampling in Deep Learning
Robust Sampling in Deep Learning
Aurora Cobo Aguilera
Antonio Artés-Rodríguez
Fernando Pérez-Cruz
Pablo Martínez Olmos
OOD
22
1
0
04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Helen Zhou
Shuiwang Ji
105
402
0
03 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19
  Classification using Chest X-ray Images
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
S. Chatterjee
Fatima Saad
Chompunuch Sarasaen
Suhita Ghosh
Valerie Krug
...
Petia Radeva
G. Rose
Sebastian Stober
Oliver Speck
A. Nürnberger
104
26
0
03 Jun 2020
Interpretation of ResNet by Visualization of Preferred Stimulus in
  Receptive Fields
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields
Genta Kobayashi
Hayaru Shouno
29
4
0
02 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for
  composite nonconvex stochastic optimization
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
Yangyang Xu
Yibo Xu
69
25
0
31 May 2020
Reconstructing undersampled photoacoustic microscopy images using deep
  learning
Reconstructing undersampled photoacoustic microscopy images using deep learning
Anthony DiSpirito
Daiwei Li
Tri Vu
Maomao Chen
D. Zhang
Jianwen Luo
R. Horstmeyer
Junjie Yao
44
97
0
30 May 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution
  Prediction
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
Haoliang Jiang
Zhenguo Nie
Roselyn Yeo
A. Farimani
Levent Burak Kara
GAN
90
18
0
30 May 2020
Approximating the Ideal Observer for joint signal detection and
  localization tasks by use of supervised learning methods
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
Weimin Zhou
Hua Li
M. Anastasio
31
30
0
29 May 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
102
502
0
28 May 2020
Bridging the gap between Natural and Medical Images through Deep
  Colorization
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
MedIm
59
15
0
21 May 2020
ISeeU2: Visually Interpretable ICU mortality prediction using deep
  learning and free-text medical notes
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes
William Caicedo-Torres
Jairo Gutiérrez
60
3
0
19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
77
67
0
18 May 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro
  Expression Recognition
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Monu Verma
Santosh Kumar Vipparthi
Girdhari Singh
60
15
0
16 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone
  Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42
  Dataset
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset
C. Qiu
Xiaochong Tong
M. Schmitt
B. Bechtel
Xiaoxiang Zhu
82
54
0
16 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
David Gschwend
55
64
0
14 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang
You Zhang
Weijian Pan
Jinyin Chen
L. Qian
Yuan Wu
41
32
0
03 May 2020
A survey on modern trainable activation functions
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
112
378
0
02 May 2020
Towards Visually Explaining Video Understanding Networks with
  Perturbation
Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
FAtt
38
3
0
01 May 2020
Hide-and-Seek: A Template for Explainable AI
Hide-and-Seek: A Template for Explainable AI
Thanos Tagaris
A. Stafylopatis
26
6
0
30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAMLXAI
120
382
0
30 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks?
Do We Need Fully Connected Output Layers in Convolutional Networks?
Zhongchao Qian
Tyler L. Hayes
Kushal Kafle
Christopher Kanan
49
9
0
28 Apr 2020
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