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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
Quantifying Explainability of Saliency Methods in Deep Neural Networks
  with a Synthetic Dataset
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic DatasetIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Erico Tjoa
Cuntai Guan
XAIFAtt
371
32
0
07 Sep 2020
Detection Defense Against Adversarial Attacks with Saliency Map
Detection Defense Against Adversarial Attacks with Saliency MapInternational Journal of Intelligent Systems (IJIS), 2020
Dengpan Ye
Chuanxi Chen
Changrui Liu
Hao Wang
Shunzhi Jiang
AAML
129
32
0
06 Sep 2020
Generalization on the Enhancement of Layerwise Relevance
  Interpretability of Deep Neural Network
Generalization on the Enhancement of Layerwise Relevance Interpretability of Deep Neural Network
Erico Tjoa
Cuntai Guan
FAtt
171
0
0
05 Sep 2020
Explainable Artificial Intelligence for Process Mining: A General
  Overview and Application of a Novel Local Explanation Approach for Predictive
  Process Monitoring
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process MonitoringStudies in Computational Intelligence (SCI), 2020
Nijat Mehdiyev
Peter Fettke
AI4TS
229
66
0
04 Sep 2020
Fingerprint Feature Extraction by Combining Texture, Minutiae, and
  Frequency Spectrum Using Multi-Task CNN
Fingerprint Feature Extraction by Combining Texture, Minutiae, and Frequency Spectrum Using Multi-Task CNN
Ai Takahashi
Yoshinori Koda
Koichi Ito
T. Aoki
108
30
0
27 Aug 2020
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in
  Non-ideal Audio Signals
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Non-ideal Audio Signals
Anurag Chowdhury
Arun Ross
97
2
0
26 Aug 2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image
  Classification
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
Chuan-Xian Ren
Pengfei Ge
D. Dai
Hong Yan
132
19
0
24 Aug 2020
A Unified Taylor Framework for Revisiting Attribution Methods
A Unified Taylor Framework for Revisiting Attribution Methods
Huiqi Deng
Na Zou
Mengnan Du
Weifu Chen
Guo-Can Feng
Helen Zhou
FAttTDI
361
23
0
21 Aug 2020
$β$-Variational Classifiers Under Attack
βββ-Variational Classifiers Under Attack
Marco Maggipinto
M. Terzi
Gian Antonio Susto
AAMLOOD
135
1
0
20 Aug 2020
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
iCaps: An Interpretable Classifier via Disentangled Capsule Networks
Dahuin Jung
Jonghyun Lee
Jihun Yi
Sungroh Yoon
258
13
0
20 Aug 2020
Anomaly Detection with Convolutional Autoencoders for Fingerprint
  Presentation Attack Detection
Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection
Jascha Kolberg
Marcel Grimmer
M. Gomez-Barrero
Christoph Busch
AAML
176
32
0
18 Aug 2020
Comparison of Convolutional neural network training parameters for
  detecting Alzheimers disease and effect on visualization
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization
Arjun H. Pallath
M. Dyrba
60
0
0
18 Aug 2020
Survey of XAI in digital pathology
Survey of XAI in digital pathology
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
170
60
0
14 Aug 2020
Novelty Detection Through Model-Based Characterization of Neural
  Networks
Novelty Detection Through Model-Based Characterization of Neural Networks
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
141
23
0
13 Aug 2020
Key-Nets: Optical Transformation Convolutional Networks for Privacy
  Preserving Vision Sensors
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision SensorsBritish Machine Vision Conference (BMVC), 2020
J. Byrne
Brian DeCann
S. Bloom
PICV
169
5
0
11 Aug 2020
Predicting Risk of Developing Diabetic Retinopathy using Deep Learning
Predicting Risk of Developing Diabetic Retinopathy using Deep LearningThe Lancet Digital Health (LDH), 2020
Ashish Bora
Siva Balasubramanian
Boris Babenko
S. Virmani
Subhashini Venugopalan
...
D. Webster
A. Varadarajan
N. Hammel
Yao Xiao
Pinal Bavishi
92
183
0
10 Aug 2020
Deep learning for photoacoustic imaging: a survey
Deep learning for photoacoustic imaging: a survey
Changchun Yang
Hengrong Lan
Feng Gao
Fei Gao
VLMMedIm
320
21
0
10 Aug 2020
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint
  Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI
An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRIIEEE journal of biomedical and health informatics (JBHI), 2020
Xin Zhang
Liangxiu Han
Wenyong Zhu
Liang Sun
Daoqiang Zhang
MedIm
263
173
0
10 Aug 2020
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter
  Evaluation
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation
Bernhard Liebl
M. Burghardt
120
4
0
06 Aug 2020
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing
  Abnormalities in Medical Imaging
Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingmedRxiv (medRxiv), 2020
N. Arun
N. Gaw
P. Singh
Ken Chang
M. Aggarwal
...
J. Patel
M. Gidwani
Julius Adebayo
M. D. Li
Jayashree Kalpathy-Cramer
FAtt
338
116
0
06 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of
  CNNs
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu
Qingyong Hu
Xiaohu Dong
Yulan Guo
Yinghui Gao
Biao Li
FAtt
397
339
0
05 Aug 2020
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for
  Object Recognition
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition
Hendrik Heuer
Andreas Breiter
HAI
133
9
0
05 Aug 2020
Implicit Saliency in Deep Neural Networks
Implicit Saliency in Deep Neural Networks
Yutong Sun
Mohit Prabhushankar
Ghassan AlRegib
FAtt
137
9
0
04 Aug 2020
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent
  System
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Xinzhi Wang
Huao Li
Hui Zhang
M. Lewis
Katia Sycara
205
4
0
04 Aug 2020
Eigen-CAM: Class Activation Map using Principal Components
Eigen-CAM: Class Activation Map using Principal ComponentsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Mohammed Bany Muhammad
M. Yeasin
253
476
0
01 Aug 2020
Curriculum learning for improved femur fracture classification:
  scheduling data with prior knowledge and uncertainty
Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty
Amelia Jiménez-Sánchez
Diana Mateus
S. Kirchhoff
C. Kirchhoff
P. Biberthaler
Nassir Navab
M. A. G. Ballester
Gemma Piella
132
22
0
31 Jul 2020
Black-box Adversarial Sample Generation Based on Differential Evolution
Black-box Adversarial Sample Generation Based on Differential EvolutionJournal of Systems and Software (JSS), 2020
Junyu Lin
Lei Xu
Yingqi Liu
Xinming Zhang
AAML
131
36
0
30 Jul 2020
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation
Weakly-Supervised Cell Tracking via Backward-and-Forward PropagationEuropean Conference on Computer Vision (ECCV), 2020
Kazuya Nishimura
Junya Hayashida
Chenyang Wang
Dai Fei Elmer Ker
Ryoma Bise
174
17
0
30 Jul 2020
The MAMe Dataset: On the relevance of High Resolution and Variable Shape
  image properties
The MAMe Dataset: On the relevance of High Resolution and Variable Shape image properties
Ferran Parés
Anna Arias-Duart
Dario Garcia-Gasulla
Gema Campo-Francés
Nina Viladrich
Eduard Ayguadé
Jesús Labarta
318
9
0
27 Jul 2020
Towards Learning Convolutions from Scratch
Towards Learning Convolutions from ScratchNeural Information Processing Systems (NeurIPS), 2020
Behnam Neyshabur
SSL
484
74
0
27 Jul 2020
Hierarchical Protein Function Prediction with Tail-GNNs
Hierarchical Protein Function Prediction with Tail-GNNs
Stefan Spalević
Petar Velivcković
Jovana Kovavcević
Mladen Nikolic
AI4CE
167
5
0
24 Jul 2020
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
417
142
0
21 Jul 2020
Pattern-Guided Integrated Gradients
Pattern-Guided Integrated Gradients
Robert Schwarzenberg
Steffen Castle
228
1
0
21 Jul 2020
Sorted Pooling in Convolutional Networks for One-shot Learning
Sorted Pooling in Convolutional Networks for One-shot Learning
András Horváth
FAttMLT
146
1
0
20 Jul 2020
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen
Lingshen He
Zhouchen Lin
Jinwen Ma
209
52
0
20 Jul 2020
Backpropagated Gradient Representations for Anomaly Detection
Backpropagated Gradient Representations for Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2020
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
227
78
0
18 Jul 2020
Feature Pyramid Transformer
Feature Pyramid TransformerEuropean Conference on Computer Vision (ECCV), 2020
Dong Zhang
Hanwang Zhang
Jinhui Tang
Meng Wang
Xiansheng Hua
Qianru Sun
ViT
212
294
0
18 Jul 2020
Explanation-Guided Training for Cross-Domain Few-Shot Classification
Explanation-Guided Training for Cross-Domain Few-Shot ClassificationInternational Conference on Pattern Recognition (ICPR), 2020
Jiamei Sun
Sebastian Lapuschkin
Wojciech Samek
Yunqing Zhao
Ngai-Man Cheung
Alexander Binder
246
111
0
17 Jul 2020
Progressive Multi-stage Feature Mix for Person Re-Identification
Progressive Multi-stage Feature Mix for Person Re-Identification
Yan Zhang
Binyu He
Li Sun
159
0
0
17 Jul 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human
  Behavior
End-to-end Deep Prototype and Exemplar Models for Predicting Human BehaviorAnnual Meeting of the Cognitive Science Society (CogSci), 2020
Pulkit Singh
Joshua C. Peterson
Ruairidh M. Battleday
Thomas Griffiths
116
20
0
17 Jul 2020
Camera Bias in a Fine Grained Classification Task
Camera Bias in a Fine Grained Classification TaskIEEE International Joint Conference on Neural Network (IJCNN), 2020
Philip T. G. Jackson
Stephen Bonner
Ning Jia
Christopher J. Holder
Jonathan Stonehouse
B. Obara
136
4
0
16 Jul 2020
A simple defense against adversarial attacks on heatmap explanations
A simple defense against adversarial attacks on heatmap explanations
Laura Rieger
Lars Kai Hansen
FAttAAML
247
39
0
13 Jul 2020
Locality Guided Neural Networks for Explainable Artificial Intelligence
Locality Guided Neural Networks for Explainable Artificial IntelligenceIEEE International Joint Conference on Neural Network (IJCNN), 2020
Randy Tan
N. Khan
L. Guan
125
8
0
12 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks
Probabilistic Jacobian-based Saliency Maps AttacksMachine Learning and Knowledge Extraction (MLKE), 2020
Théo Combey
António Loison
Maxime Faucher
H. Hajri
AAML
323
23
0
12 Jul 2020
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
ManiGen: A Manifold Aided Black-box Generator of Adversarial ExamplesIEEE Access (IEEE Access), 2020
Guanxiong Liu
Issa M. Khalil
Abdallah Khreishah
A. Algosaibi
Adel Aldalbahi
M. Al-Naeem
Abdulaziz Alhumam
Muhammad Anan
AAML
151
5
0
11 Jul 2020
Usefulness of interpretability methods to explain deep learning based
  plant stress phenotyping
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping
Koushik Nagasubramanian
Asheesh K. Singh
Arti Singh
Soumik Sarkar
Baskar Ganapathysubramanian
FAtt
98
17
0
11 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image
  Translation
Scientific Discovery by Generating Counterfactuals using Image TranslationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Arunachalam Narayanaswamy
Subhashini Venugopalan
D. Webster
L. Peng
G. Corrado
...
Abigail E. Huang
Siva Balasubramanian
Michael P. Brenner
Phil Q. Nelson
A. Varadarajan
DiffMMedIm
197
22
0
10 Jul 2020
PointMask: Towards Interpretable and Bias-Resilient Point Cloud
  Processing
PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing
Saeid Asgari Taghanaki
Kaveh Hassani
P. Jayaraman
Amir Hosein Khas Ahmadi
Tonya Custis
3DPC
164
10
0
09 Jul 2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics,
  and Datasets
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Junsuk Choe
Seong Joon Oh
Sanghyuk Chun
Seungho Lee
Zeynep Akata
Hyunjung Shim
WSOL
911
29
0
08 Jul 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Parth Kothari
S. Kreiss
Alexandre Alahi
HAIAI4TS
397
275
0
07 Jul 2020
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