Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1412.6806
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,917 papers shown
Regional Image Perturbation Reduces
L
p
L_p
L
p
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
139
2
0
07 Jul 2020
ARC-Net: Activity Recognition Through Capsules
H. Damirchi
Rooholla Khorrambakht
H. Taghirad
HAI
160
15
0
06 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
Yanwei Fu
Chen Liu
Donghao Li
Xinwei Sun
Jinshan Zeng
Xingtai Lv
144
9
0
04 Jul 2020
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
Karol Gotkowski
Camila González
A. Bucher
Anirban Mukhopadhyay
3DPC
MedIm
82
49
0
01 Jul 2020
Future Urban Scenes Generation Through Vehicles Synthesis
A. Simoni
Luca Bergamini
Andrea Palazzi
Simone Calderara
Rita Cucchiara
123
3
0
01 Jul 2020
A Data-driven Neural Network Architecture for Sentiment Analysis
Erion Çano
M. Morisio
119
13
0
30 Jun 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy
Sijia Liu
Gaoyuan Zhang
Cynthia Liu
Pin-Yu Chen
Shiyu Chang
Luca Daniel
AAML
FAtt
325
73
0
26 Jun 2020
Influence Functions in Deep Learning Are Fragile
S. Basu
Phillip E. Pope
Soheil Feizi
TDI
425
292
0
25 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization
Haofan Wang
Rakshit Naidu
J. Michael
Soumya Snigdha Kundu
FAtt
349
95
0
25 Jun 2020
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
120
0
0
20 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI
A. Tavanaei
XAI
217
35
0
19 Jun 2020
A generalizable saliency map-based interpretation of model outcome
Shailja Thakur
S. Fischmeister
AAML
FAtt
MILM
187
2
0
16 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAtt
GNN
MedIm
141
38
0
16 Jun 2020
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
88
44
0
16 Jun 2020
An empirical study on using CNNs for fast radio signal prediction
Ozan Ozyegen
Sanaz Mohammadjafari
Karim El mokhtari
Mucahit Cevik
J. Ethier
Ayse Basar
230
16
0
16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAML
FAtt
299
43
0
16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
488
713
0
16 Jun 2020
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
142
42
0
15 Jun 2020
Classifying degraded images over various levels of degradation
Kazuki Endo
Masayuki Tanaka
Masatoshi Okutomi
88
17
0
15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks
Sarada Krithivasan
Sanchari Sen
A. Raghunathan
AAML
174
1
0
14 Jun 2020
On Saliency Maps and Adversarial Robustness
Puneet Mangla
Vedant Singh
V. Balasubramanian
AAML
217
18
0
14 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
International Conference on Machine Learning (ICML), 2020
Masahiro Kato
Takeshi Teshima
368
49
0
12 Jun 2020
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl
Enkelejda Kasneci
303
10
0
12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
165
7
0
11 Jun 2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods
IEEE International Joint Conference on Neural Network (IJCNN), 2020
A. Gupta
Simon Watson
Hujun Yin
3DPC
129
33
0
09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation
Jian Liang
Bing Bai
Yuren Cao
Kun Bai
Haiwei Yang
AAML
309
21
0
09 Jun 2020
The Curious Case of Convex Neural Networks
S. Sivaprasad
Ankur Singh
Naresh Manwani
Vineet Gandhi
366
32
0
09 Jun 2020
The Penalty Imposed by Ablated Data Augmentation
Frederick Liu
A. Najmi
Mukund Sundararajan
148
7
0
08 Jun 2020
Discovering Parametric Activation Functions
G. Bingham
Risto Miikkulainen
ODL
374
82
0
05 Jun 2020
Robust Sampling in Deep Learning
Aurora Cobo Aguilera
Antonio Artés-Rodríguez
Fernando Pérez-Cruz
Pablo M. Olmos
OOD
155
1
0
04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Knowledge Discovery and Data Mining (KDD), 2020
Haonan Yuan
Shucheng Zhou
Helen Zhou
Shuiwang Ji
279
457
0
03 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
Journal of Imaging (JI), 2020
S. Chatterjee
Fatima Saad
Chompunuch Sarasaen
Suhita Ghosh
Valerie Krug
...
Petia Radeva
G. Rose
Sebastian Stober
Oliver Speck
A. Nürnberger
261
28
0
03 Jun 2020
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields
Genta Kobayashi
Hayaru Shouno
88
4
0
02 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
Journal of Optimization Theory and Applications (JOTA), 2020
Yangyang Xu
Yibo Xu
319
32
0
31 May 2020
Reconstructing undersampled photoacoustic microscopy images using deep learning
IEEE Transactions on Medical Imaging (TMI), 2020
Anthony DiSpirito
Daiwei Li
Tri Vu
Maomao Chen
D. Zhang
Jianwen Luo
R. Horstmeyer
Junjie Yao
118
109
0
30 May 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction
Design Automation Conference (DAC), 2020
Haoliang Jiang
Zhenguo Nie
Roselyn Yeo
A. Farimani
Levent Burak Kara
GAN
149
24
0
30 May 2020
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
IEEE Transactions on Medical Imaging (TMI), 2020
Weimin Zhou
Hua Li
M. Anastasio
118
32
0
29 May 2020
Explainable deep learning models in medical image analysis
Journal of Imaging (JI), 2020
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
290
585
0
28 May 2020
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra
Luca Piano
Fabrizio Lamberti
Tatiana Tommasi
MedIm
216
17
0
21 May 2020
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes
William Caicedo-Torres
Jairo Gutiérrez
134
3
0
19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
343
71
0
18 May 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Monu Verma
Santosh Kumar Vipparthi
Girdhari Singh
142
24
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
C. Qiu
Xiaochong Tong
M. Schmitt
B. Bechtel
Xiaoxiang Zhu
194
59
0
16 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
David Gschwend
119
66
0
14 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2020
Liang Huang
You Zhang
Weijian Pan
Jinyin Chen
L. Qian
Yuan Wu
145
42
0
03 May 2020
A survey on modern trainable activation functions
Neural Networks (NN), 2020
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
289
479
0
02 May 2020
Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
FAtt
137
3
0
01 May 2020
Hide-and-Seek: A Template for Explainable AI
Thanos Tagaris
A. Stafylopatis
112
6
0
30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Journal of Artificial Intelligence Research (JAIR), 2020
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
453
422
0
30 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks?
Zhongchao Qian
Tyler L. Hayes
Kushal Kafle
Christopher Kanan
132
9
0
28 Apr 2020
Previous
1
2
3
...
21
22
23
...
37
38
39
Next
Page 22 of 39
Page
of 39
Go