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Striving for Simplicity: The All Convolutional Net

21 December 2014

Jost Tobias Springenberg

Alexey Dosovitskiy

Thomas Brox

Martin Riedmiller

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Papers citing "Striving for Simplicity: The All Convolutional Net"

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A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
Data augmentation and image understanding Alex Hernandez-Garcia 31 6 0 28 Dec 2020
Towards Robust Explanations for Deep Neural Networks Ann-Kathrin Dombrowski Christopher J. Anders K. Müller Pan Kessel FAtt 96 64 0 18 Dec 2020
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease M. Dyrba Moritz Hanzig S. Altenstein Sebastian Bader Tommaso Ballarini ... B. Ertl-Wagner M. Wagner J. Wiltfang F. Jessen S. Teipel FAtt MedIm 117 53 0 18 Dec 2020
AdjointBackMap: Reconstructing Effective Decision Hypersurfaces from CNN Layers Using Adjoint Operators Qing Wan Yoonsuck Choe 44 1 0 16 Dec 2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease Esther E. Bron S. Klein J. Papma L. Jiskoot Vikram Venkatraghavan ... W. Niessen J. Swieten W. M. van der Flier I. Ramakers A. van der Lugt 107 68 0 16 Dec 2020
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion Lina Liu Xibin Song Xiaoyang Lyu Junwei Diao Mengmeng Wang Yong Liu Liangjun Zhang 3DV 90 110 0 15 Dec 2020
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Dependency Decomposition and a Reject Option for Explainable Models Jan Kronenberger Anselm Haselhoff FAtt AAML 67 8 0 11 Dec 2020
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS 26 14 0 08 Dec 2020
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 86 6 0 07 Dec 2020
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Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations Woo-Jeoung Nam Jaesik Choi Seong-Whan Lee FAtt AAML 40 14 0 07 Dec 2020
FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization Nishant Kumar Stefan Gumhold AAML MedIm 64 11 0 06 Dec 2020
Representaciones del aprendizaje reutilizando los gradientes de la retropropagacion Roberto Reyes-Ochoa Servando Lopez-Aguayo FAtt 22 0 0 06 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 87 282 0 04 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li MILM XAI LRM FAtt 117 39 0 03 Dec 2020
Interpretable Graph Capsule Networks for Object Recognition Jindong Gu Volker Tresp FAtt 73 36 0 03 Dec 2020
Rethinking Positive Aggregation and Propagation of Gradients in Gradient-based Saliency Methods Ashkan Khakzar Soroosh Baselizadeh Nassir Navab FAtt 28 8 0 01 Dec 2020
Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support Isma Hadji Richard P. Wildes 26 2 0 30 Nov 2020
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing Florian Dubost Erin Hong Nandita Bhaskhar Siyi Tang D. Rubin Christopher Lee-Messer NoLa 41 0 0 28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 70 5 0 27 Nov 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 136 10 0 26 Nov 2020
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization T. Han S. Nebelung F. Pedersoli Markus Zimmermann M. Schulze-Hagen ... Christoph Haarburger Fabian Kiessling Christiane Kuhl Volkmar Schulz Daniel Truhn MedIm 28 36 0 25 Nov 2020
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CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature Jeong-gi Kwak D. Han Hanseok Ko CVBM GAN 68 35 0 24 Nov 2020
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Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 149 447 0 22 Nov 2020
Interpreting Super-Resolution Networks with Local Attribution Maps Jinjin Gu Chao Dong FAtt SupR 73 228 0 22 Nov 2020
Explaining by Removing: A Unified Framework for Model Explanation Ian Covert Scott M. Lundberg Su-In Lee FAtt 149 252 0 21 Nov 2020
Deep learning insights into cosmological structure formation Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam 65 6 0 20 Nov 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 61 85 0 19 Nov 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment Bing Yu Hua Qi Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Jianjun Zhao 23 5 0 19 Nov 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks R. Draelos Lawrence Carin FAtt 119 97 0 17 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 89 54 0 14 Nov 2020
One Explanation is Not Enough: Structured Attention Graphs for Image Classification Vivswan Shitole Li Fuxin Minsuk Kahng Prasad Tadepalli Alan Fern FAtt GNN 70 38 0 13 Nov 2020
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines Sheng-Min Shih Pin-Ju Tien Zohar Karnin FAtt 86 14 0 11 Nov 2020
Skin disease diagnosis with deep learning: a review Hongfeng Li Yini Pan Jie Zhao Li Zhang 60 109 0 11 Nov 2020
Debugging Tests for Model Explanations Julius Adebayo M. Muelly Ilaria Liccardi Been Kim FAtt 78 181 0 10 Nov 2020
Input Bias in Rectified Gradients and Modified Saliency Maps L. Brocki N. C. Chung FAtt AAML XAI 20 3 0 10 Nov 2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers Rajat Sharma N. Reddy V. Kamakshi N. C. Krishnan Shweta Jain FAtt 58 7 0 03 Nov 2020
Receptive Field Size Optimization with Continuous Time Pooling Dóra Babicz Soma Kontár M. Peto András Fülöp Gergely Szabó A. Horváth 26 1 0 02 Nov 2020
Machine versus Human Attention in Deep Reinforcement Learning Tasks Sihang Guo Ruohan Zhang Bo Liu Yifeng Zhu M. Hayhoe D. Ballard Peter Stone OffRL 99 28 0 29 Oct 2020