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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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ELF: Embedded Localisation of Features in pre-trained CNN Assia Benbihi Matthieu Geist C´edric Pradalier 68 30 0 07 Jul 2019
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Multi-level Wavelet Convolutional Neural Networks Pengju Liu Hongzhi Zhang Wei Lian W. Zuo 71 207 0 06 Jul 2019
Visualizing Uncertainty and Saliency Maps of Deep Convolutional Neural Networks for Medical Imaging Applications J. D. Seo MedIm FAtt 49 4 0 05 Jul 2019
Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units L. Meegahapola Vengateswaran Subramaniam Lance M. Kaplan Archan Misra 45 2 0 05 Jul 2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images J. Doshi G. Erus Mohamad Habes Christos Davatzikos MedIm 41 27 0 03 Jul 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 70 108 0 26 Jun 2019
Saliency-driven Word Alignment Interpretation for Neural Machine Translation Shuoyang Ding Hainan Xu Philipp Koehn 107 55 0 25 Jun 2019
Remote Sensor Design for Visual Recognition with Convolutional Neural Networks Lucas Jaffe M. Zelinski W. Sakla 40 14 0 24 Jun 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 92 336 0 19 Jun 2019
ViP: Virtual Pooling for Accelerating CNN-based Image Classification and Object Detection Zhuo Chen Jiyuan Zhang Ruizhou Ding Diana Marculescu 39 12 0 19 Jun 2019
Exemplar Guided Face Image Super-Resolution without Facial Landmarks Berk Dogan Shuhang Gu Radu Timofte GAN CVBM 84 87 0 17 Jun 2019
Representation Quality Of Neural Networks Links To Adversarial Attacks and Defences Shashank Kotyan Danilo Vasconcellos Vargas Moe Matsuki 39 0 0 15 Jun 2019
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$Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary$ Adversarial Robustness Assessment: Why both $L_0$ and $L_\infty$ Attacks Are Necessary Shashank Kotyan Danilo Vasconcellos Vargas AAML 34 8 0 14 Jun 2019
Deep Learning Development Environment in Virtual Reality K. VanHorn Meyer Zinn M. Çobanoğlu 18 11 0 13 Jun 2019
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Learning robust visual representations using data augmentation invariance Alex Hernández-García Peter König Tim C Kietzmann OOD 51 10 0 11 Jun 2019
Classification of Radio Signals and HF Transmission Modes with Deep Learning S. Scholl 29 18 0 11 Jun 2019
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding Haotian Ma Hao Zhang Fan Zhou Yinqing Zhang Quanshi Zhang FAtt 25 0 0 10 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 83 37 0 09 Jun 2019
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images M. Islam Daniel Massicotte F. Nougarou P. Massicotte Weiping Zhu 36 9 0 08 Jun 2019
XRAI: Better Attributions Through Regions A. Kapishnikov Tolga Bolukbasi Fernanda Viégas Michael Terry FAtt XAI 74 213 0 06 Jun 2019
Evaluating Explanation Methods for Deep Learning in Security Alexander Warnecke Dan Arp Christian Wressnegger Konrad Rieck XAI AAML FAtt 71 94 0 05 Jun 2019
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation Minh Nhat Vu Truc D. T. Nguyen Nhathai Phan Ralucca Gera My T. Thai AAML FAtt 79 22 0 05 Jun 2019
Visual Confusion Label Tree For Image Classification Yuntao Liu Y. Dou Ruochun Jin Rongchun Li 35 5 0 05 Jun 2019
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks Florian Dubost H. Adams P. Yilmaz Gerda Bortsova Gijs van Tulder M. Ikram W. Niessen Meike W. Vernooij Marleen de Bruijne MedIm 73 44 0 05 Jun 2019
Bayesian Evidential Deep Learning with PAC Regularization Manuel Haussmann S. Gerwinn M. Kandemir UQCV EDL BDL 48 1 0 03 Jun 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 178 272 0 31 May 2019
Deep interpretable architecture for plant diseases classification Mohammed Brahimi Said Mahmoudi K. Boukhalfa A. Moussaoui 56 47 0 31 May 2019
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence Aditya Golatkar Alessandro Achille Stefano Soatto 82 97 0 30 May 2019
Where is the Information in a Deep Neural Network? Alessandro Achille Giovanni Paolini Stefano Soatto 98 82 0 29 May 2019
A Rate-Distortion Framework for Explaining Neural Network Decisions Jan Macdonald S. Wäldchen Sascha Hauch Gitta Kutyniok 63 39 0 27 May 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 67 180 0 27 May 2019
Locality-Promoting Representation Learning Johannes Schneider 51 2 0 25 May 2019
Training Decision Trees as Replacement for Convolution Layers Wolfgang Fuhl Gjergji Kasneci W. Rosenstiel Enkelejda Kasneci 43 19 0 24 May 2019
Exploring Structural Sparsity of Deep Networks via Inverse Scale Spaces Yanwei Fu Chen Liu Donghao Li Zuyuan Zhong Xinwei Sun Jinshan Zeng Yuan Yao 48 10 0 23 May 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
What Do Adversarially Robust Models Look At? Takahiro Itazuri Yoshihiro Fukuhara Hirokatsu Kataoka Shigeo Morishima 32 5 0 19 May 2019
Multilinear Compressive Learning D. Tran Mehmet Yamaç A. Degerli Moncef Gabbouj Alexandros Iosifidis 44 24 0 17 May 2019
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 52 67 0 15 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 66 20 0 12 May 2019
Explainable AI for Trees: From Local Explanations to Global Understanding Scott M. Lundberg G. Erion Hugh Chen A. DeGrave J. Prutkin B. Nair R. Katz J. Himmelfarb N. Bansal Su-In Lee FAtt 106 291 0 11 May 2019
On the Connection Between Adversarial Robustness and Saliency Map Interpretability Christian Etmann Sebastian Lunz Peter Maass Carola-Bibiane Schönlieb AAML FAtt 63 162 0 10 May 2019
Embedding Human Knowledge into Deep Neural Network via Attention Map Masahiro Mitsuhara Hiroshi Fukui Yusuke Sakashita Takanori Ogata Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 100 73 0 09 May 2019
FCC-GAN: A Fully Connected and Convolutional Net Architecture for GANs Sukarna Barua S. Erfani James Bailey AI4CE GAN 29 27 0 07 May 2019