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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
Deep Vehicle Detection in Satellite Video
Deep Vehicle Detection in Satellite Video
R. Pflugfelder
Axel Weissenfeld
Julian Wagner
ViT
64
4
0
14 Apr 2022
Explainable Analysis of Deep Learning Methods for SAR Image
  Classification
Explainable Analysis of Deep Learning Methods for SAR Image Classification
Sheng Su
Ziteng Cui
Weiwei Guo
Zenghui Zhang
Wenxian Yu
XAI
65
12
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 Data
David Schinagl
Georg Krispel
Horst Possegger
P. Roth
Horst Bischof
3DPC
60
19
0
13 Apr 2022
Maximum Entropy Baseline for Integrated Gradients
Maximum Entropy Baseline for Integrated Gradients
Hanxiao Tan
FAtt
28
4
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 Inference
Kerem Zaman
Yonatan Belinkov
101
8
0
11 Apr 2022
Reliable Visualization for Deep Speaker Recognition
Reliable Visualization for Deep Speaker Recognition
Pengqi Li
Lantian Li
A. Hamdulla
Dong Wang
HAI
82
9
0
08 Apr 2022
Total Variation Optimization Layers for Computer Vision
Total Variation Optimization Layers for Computer Vision
Raymond A. Yeh
Yuan-Ting Hu
Zhongzheng Ren
Alex Schwing
53
14
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
86
4
0
07 Apr 2022
AutoProtoNet: Interpretability for Prototypical Networks
AutoProtoNet: Interpretability for Prototypical Networks
Pedro Sandoval Segura
W. Lawson
35
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 systems
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
Thomas Stifter
AAML
74
15
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
86
11
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 learning
J. Grahn
F. Bianchi
53
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
57
0
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
65
7
0
27 Mar 2022
HINT: Hierarchical Neuron Concept Explainer
HINT: Hierarchical Neuron Concept Explainer
Andong Wang
Wei-Ning Lee
Xiaojuan Qi
64
19
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
38
3
0
24 Mar 2022
Interpretable Prediction of Pulmonary Hypertension in Newborns using
  Echocardiograms
Interpretable Prediction of Pulmonary Hypertension in Newborns using Echocardiograms
H. Ragnarsdóttir
Laura Manduchi
H. Michel
F. Laumer
S. Wellmann
Ece Ozkan
Julia-Franziska Vogt
51
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 taxonomy
Guillermo Iglesias
Edgar Talavera
Alberto Díaz-Álvarez
EGVMAI4TS
108
62
0
21 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
Anton Van Den Hengel
Johan Verjans
59
17
0
21 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs
Visualizing Global Explanations of Point Cloud DNNs
Hanxiao Tan
3DPC
86
8
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
63
31
0
17 Mar 2022
Beyond Explaining: Opportunities and Challenges of XAI-Based Model
  Improvement
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Leander Weber
Sebastian Lapuschkin
Alexander Binder
Wojciech Samek
109
103
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
FAttAI4TS
68
6
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?
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
52
52
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
38
3
0
11 Mar 2022
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
Human Silhouette and Skeleton Video Synthesis through Wi-Fi signals
D. Avola
Marco Cascio
Luigi Cinque
Alessio Fagioli
G. Foresti
83
8
0
11 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World
Adversarial Texture for Fooling Person Detectors in the Physical World
Zhan Hu
Siyuan Huang
Xiaopei Zhu
Gang Hua
Bo Zhang
Xiaolin Hu
AAML
77
108
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
57
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
39
4
0
06 Mar 2022
Do Explanations Explain? Model Knows Best
Do Explanations Explain? Model Knows Best
Ashkan Khakzar
Pedram J. Khorsandi
Rozhin Nobahari
Nassir Navab
XAIAAMLFAtt
38
24
0
04 Mar 2022
The Theoretical Expressiveness of Maxpooling
The Theoretical Expressiveness of Maxpooling
Kyle Matoba
Nikolaos Dimitriadis
Franccois Fleuret
FAtt
52
3
0
02 Mar 2022
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Styleverse: Towards Identity Stylization across Heterogeneous Domains
Jia Li
Jie Cao
Junxian Duan
Ran He
63
0
0
02 Mar 2022
Global-Local Regularization Via Distributional Robustness
Global-Local Regularization Via Distributional Robustness
Hoang Phan
Trung Le
Trung-Nghia Phung
Tu Bui
Nhat Ho
Dinh Q. Phung
OOD
91
13
0
01 Mar 2022
Continuous Human Action Recognition for Human-Machine Interaction: A
  Review
Continuous Human Action Recognition for Human-Machine Interaction: A Review
Harshala Gammulle
David Ahmedt-Aristizabal
Simon Denman
Lachlan Tychsen-Smith
L. Petersson
Clinton Fookes
121
28
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
85
27
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 Attributions
Daniel Lundstrom
Tianjian Huang
Meisam Razaviyayn
FAtt
105
70
0
24 Feb 2022
Explanatory Paradigms in Neural Networks
Explanatory Paradigms in Neural Networks
Ghassan AlRegib
Mohit Prabhushankar
FAttXAI
57
12
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 Four
S. Wäldchen
Felix Huber
Sebastian Pokutta
FAtt
61
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 Intralogistics
Honghu Xue
Benedikt Hein
M. Bakr
Georg Schildbach
Bengt Abel
Elmar Rueckert
123
18
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 NMF
Jayneel Parekh
Sanjeel Parekh
Pavlo Mozharovskyi
Florence dÁlché-Buc
G. Richard
67
25
0
23 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain
Evaluating Feature Attribution Methods in the Image Domain
Arne Gevaert
Axel-Jan Rousseau
Thijs Becker
D. Valkenborg
T. D. Bie
Yvan Saeys
FAtt
69
23
0
22 Feb 2022
Offline Text-Independent Writer Identification based on word level data
Offline Text-Independent Writer Identification based on word level data
Vineet Kumar
Suresh Sundaram
55
9
0
21 Feb 2022
HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks
Yu Xue
Zi-Wei Yuan
104
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
76
95
0
16 Feb 2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
TimeREISE: Time-series Randomized Evolving Input Sample Explanation
Dominique Mercier
Andreas Dengel
Sheraz Ahmed
AI4TS
53
7
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 Analysis
Thomas Fel
Mélanie Ducoffe
David Vigouroux
Rémi Cadène
Mikael Capelle
C. Nicodeme
Thomas Serre
AAML
68
42
0
15 Feb 2022
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural
  Networks
DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks
Jiachen Zhong
Junying Chen
Ajmal Mian
46
63
0
15 Feb 2022
Measurably Stronger Explanation Reliability via Model Canonization
Measurably Stronger Explanation Reliability via Model Canonization
Franz Motzkus
Leander Weber
Sebastian Lapuschkin
FAtt
57
8
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
34
11
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 Methods
Dominique Mercier
Jwalin Bhatt
Andreas Dengel
Sheraz Ahmed
AI4TS
92
11
0
08 Feb 2022
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