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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 / 1,916 papers shown
Deep Vehicle Detection in Satellite Video
Deep Vehicle Detection in Satellite Video
R. Pflugfelder
Axel Weissenfeld
Julian Wagner
ViT
245
5
0
14 Apr 2022
Explainable Analysis of Deep Learning Methods for SAR Image
  Classification
Explainable Analysis of Deep Learning Methods for SAR Image ClassificationIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
Sheng Su
Ziteng Cui
Weiwei Guo
Zenghui Zhang
Wenxian Yu
XAI
127
14
0
14 Apr 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors
  on LiDAR Data
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR DataComputer Vision and Pattern Recognition (CVPR), 2022
David Schinagl
Georg Krispel
Horst Possegger
P. Roth
Horst Bischof
3DPC
144
23
0
13 Apr 2022
Maximum Entropy Baseline for Integrated Gradients
Maximum Entropy Baseline for Integrated GradientsIEEE International Joint Conference on Neural Network (IJCNN), 2022
Hanxiao Tan
FAtt
107
5
0
12 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods
  in Natural Language Inference
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Kerem Zaman
Yonatan Belinkov
231
8
0
11 Apr 2022
Reliable Visualization for Deep Speaker Recognition
Reliable Visualization for Deep Speaker RecognitionInterspeech (Interspeech), 2022
Pengqi Li
Lantian Li
A. Hamdulla
Dong Wang
HAI
206
11
0
08 Apr 2022
Total Variation Optimization Layers for Computer Vision
Total Variation Optimization Layers for Computer VisionComputer Vision and Pattern Recognition (CVPR), 2022
Raymond A. Yeh
Yuan-Ting Hu
Zhongzheng Ren
Alex Schwing
150
16
0
07 Apr 2022
Visualizing Deep Neural Networks with Topographic Activation Maps
Visualizing Deep Neural Networks with Topographic Activation Maps
A. Krug
Raihan Kabir Ratul
Christopher Olson
Sebastian Stober
FAttAI4CE
266
7
0
07 Apr 2022
AutoProtoNet: Interpretability for Prototypical Networks
AutoProtoNet: Interpretability for Prototypical Networks
Pedro Sandoval Segura
W. Lawson
81
2
0
02 Apr 2022
Simulator-based explanation and debugging of hazard-triggering events in
  DNN-based safety-critical systems
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systemsACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
Thomas Stifter
AAML
258
16
0
01 Apr 2022
Interpretation of Black Box NLP Models: A Survey
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
219
17
0
31 Mar 2022
Recognition of polar lows in Sentinel-1 SAR images with deep learning
Recognition of polar lows in Sentinel-1 SAR images with deep learningIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
J. Grahn
F. Bianchi
259
3
0
30 Mar 2022
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
Haozhe Jasper Wang
Zhiyang Liu
Lei Zhou
Huan Yin
Marcelo H. Ang Jr
3DV
161
1
0
30 Mar 2022
A Unified Study of Machine Learning Explanation Evaluation Metrics
A Unified Study of Machine Learning Explanation Evaluation Metrics
Yipei Wang
Xiaoqian Wang
XAI
184
8
0
27 Mar 2022
HINT: Hierarchical Neuron Concept Explainer
HINT: Hierarchical Neuron Concept ExplainerComputer Vision and Pattern Recognition (CVPR), 2022
Andong Wang
Wei-Ning Lee
Xiaojuan Qi
189
22
0
27 Mar 2022
Precipitaion Nowcasting using Deep Neural Network
Precipitaion Nowcasting using Deep Neural Network
M. Bakkay
M. Serrurier
Valentin Kivachuk Burdá
Florian Dupuy
Naty Citlali Cabrera-Gutiérrez
...
Maud-Alix Mader
O. Mestre
G. Oller
J. Jouhaud
L. Terray
AI4Cl
109
3
0
24 Mar 2022
Interpretable Prediction of Pulmonary Hypertension in Newborns using
  Echocardiograms
Interpretable Prediction of Pulmonary Hypertension in Newborns using EchocardiogramsGerman Conference on Pattern Recognition (GCPR), 2022
H. Ragnarsdóttir
Laura Manduchi
H. Michel
F. Laumer
S. Wellmann
Ece Ozkan
Julia-Franziska Vogt
188
3
0
24 Mar 2022
A survey on GANs for computer vision: Recent research, analysis and
  taxonomy
A survey on GANs for computer vision: Recent research, analysis and taxonomyComputer Science Review (CSR), 2022
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVMAI4TS
371
90
0
21 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture ClassificationIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
Anton Van Den Hengel
Johan Verjans
196
20
0
21 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs
Visualizing Global Explanations of Point Cloud DNNsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hanxiao Tan
3DPC
196
12
0
17 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey
Explainability in Graph Neural Networks: An Experimental Survey
Peibo Li
Yixing Yang
Maurice Pagnucco
Yang Song
156
39
0
17 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model ImprovementInformation Fusion (Inf. Fusion), 2022
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
258
128
0
15 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
391
7
0
14 Mar 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can
  Existing Algorithms Fulfill Clinical Requirements?
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?AAAI Conference on Artificial Intelligence (AAAI), 2022
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
219
64
0
12 Mar 2022
LFW-Beautified: A Dataset of Face Images with Beautification and
  Augmented Reality Filters
LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
Pontus Hedman
Vasilios Skepetzis
Kevin Hernandez Diaz
J. Bigün
F. Alonso-Fernandez
CVBM
128
3
0
11 Mar 2022
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signalsInternational Journal of Neural Systems (IJNS), 2022
D. Avola
Marco Cascio
Luigi Cinque
Alessio Fagioli
G. Foresti
176
12
0
11 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World
Adversarial Texture for Fooling Person Detectors in the Physical WorldComputer Vision and Pattern Recognition (CVPR), 2022
Zhan Hu
Siyuan Huang
Xiaopei Zhu
Gang Hua
Bo Zhang
Xiaolin Hu
AAML
297
144
0
07 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art
P. Williams
Ke Li
AAML
141
2
0
07 Mar 2022
Fidelity of Interpretability Methods and Perturbation Artifacts in
  Neural Networks
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks
L. Brocki
N. C. Chung
AAML
185
5
0
06 Mar 2022
Do Explanations Explain? Model Knows Best
Do Explanations Explain? Model Knows BestComputer Vision and Pattern Recognition (CVPR), 2022
Ashkan Khakzar
Pedram J. Khorsandi
Rozhin Nobahari
Nassir Navab
XAIAAMLFAtt
90
28
0
04 Mar 2022
The Theoretical Expressiveness of Maxpooling
The Theoretical Expressiveness of Maxpooling
Kyle Matoba
Nikolaos Dimitriadis
Franccois Fleuret
FAtt
231
4
0
02 Mar 2022
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Jia Li
Jie Cao
Junxian Duan
Xiao-Yu Zhang
166
0
0
02 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional RobustnessInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
260
15
0
01 Mar 2022
Continuous Human Action Recognition for Human-Machine Interaction: A
  Review
Continuous Human Action Recognition for Human-Machine Interaction: A ReviewACM Computing Surveys (ACM CSUR), 2022
Harshala Gammulle
David Ahmedt-Aristizabal
Akila Pemasiri
Lachlan Tychsen-Smith
L. Petersson
Clinton Fookes
241
40
0
26 Feb 2022
Human-Centered Concept Explanations for Neural Networks
Human-Centered Concept Explanations for Neural Networks
Chih-Kuan Yeh
Been Kim
Pradeep Ravikumar
FAtt
249
30
0
25 Feb 2022
A Rigorous Study of Integrated Gradients Method and Extensions to
  Internal Neuron Attributions
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron AttributionsInternational Conference on Machine Learning (ICML), 2022
Daniel Lundstrom
Tianjian Huang
Meisam Razaviyayn
FAtt
283
80
0
24 Feb 2022
Explanatory Paradigms in Neural Networks
Explanatory Paradigms in Neural NetworksIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Ghassan AlRegib
Mohit Prabhushankar
FAttXAI
143
13
0
24 Feb 2022
Training Characteristic Functions with Reinforcement Learning:
  XAI-methods play Connect Four
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect FourInternational Conference on Machine Learning (ICML), 2022
S. Wäldchen
Felix Huber
Sebastian Pokutta
FAtt
207
8
0
23 Feb 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for
  Mapless Navigation in Intralogistics
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in IntralogisticsApplied Sciences (Appl. Sci.), 2022
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
230
23
0
23 Feb 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with
  NMF
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMFNeural Information Processing Systems (NeurIPS), 2022
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
G. Richard
165
28
0
23 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain
Evaluating Feature Attribution Methods in the Image DomainMachine-mediated learning (ML), 2022
Arne Gevaert
Axel-Jan Rousseau
Thijs Becker
D. Valkenborg
T. D. Bie
Yvan Saeys
FAtt
145
27
0
22 Feb 2022
Offline Text-Independent Writer Identification based on word level data
Offline Text-Independent Writer Identification based on word level dataExpert systems with applications (ESWA), 2022
Vineet Kumar
Suresh Sundaram
211
13
0
21 Feb 2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural NetworksJournal on Internet of Things (JIOT), 2022
Yu Xue
Zi-Wei Yuan
240
0
0
19 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image
  Analysis
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis
Weina Jin
Xiaoxiao Li
M. Fatehi
Ghassan Hamarneh
ELMXAI
346
125
0
16 Feb 2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
TimeREISE: Time-series Randomized Evolving Input Sample ExplanationItalian National Conference on Sensors (INS), 2022
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
115
10
0
16 Feb 2022
Don't Lie to Me! Robust and Efficient Explainability with Verified
  Perturbation Analysis
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation AnalysisComputer Vision and Pattern Recognition (CVPR), 2022
Thomas Fel
Mélanie Ducoffe
David Vigouroux
Rémi Cadène
Mikael Capelle
C. Nicodeme
Thomas Serre
AAML
244
49
0
15 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Jiachen Zhong
Junying Chen
Lin Wang
108
117
0
15 Feb 2022
Measurably Stronger Explanation Reliability via Model Canonization
Measurably Stronger Explanation Reliability via Model CanonizationInternational Conference on Information Photonics (ICIP), 2022
Franz Motzkus
Leander Weber
Sebastian Lapuschkin
FAtt
120
9
0
14 Feb 2022
Towards Best Practice of Interpreting Deep Learning Models for EEG-based
  Brain Computer Interfaces
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
Jian Cui
Liqiang Yuan
Zhaoxiang Wang
Ruilin Li
Tianzi Jiang
187
17
0
12 Feb 2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution
  Methods
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution MethodsInternational Conference on Agents and Artificial Intelligence (ICAART), 2022
Dominique Mercier
Jwalin Bhatt
Andreas Dengel
Sheraz Ahmed
AI4TS
214
12
0
08 Feb 2022
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