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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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Urban morphology meets deep learning: Exploring urban forms in one million cities, town and villages across the planet V. Moosavi HAI 61 33 0 09 Sep 2017
Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification Daniel Michelsanti Zheng-Hua Tan GAN 82 209 0 06 Sep 2017
Deep Learning to Improve Breast Cancer Early Detection on Screening Mammography Li Shen L. Margolies J. Rothstein Eugene Fluder R. McBride W. Sieh MedIm 96 770 0 30 Aug 2017
Non-linear Convolution Filters for CNN-based Learning Georgios Zoumpourlis Alexandros Doumanoglou N. Vretos P. Daras 76 96 0 23 Aug 2017
CNN Fixations: An unraveling approach to visualize the discriminative image regions Konda Reddy Mopuri Utsav Garg R. Venkatesh Babu AAML 91 56 0 22 Aug 2017
Self-explanatory Deep Salient Object Detection Huaxin Xiao Jiashi Feng Yunchao Wei Maojun Zhang XAI FAtt 72 10 0 18 Aug 2017
Practical Block-wise Neural Network Architecture Generation Zhaobai Zhong Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 94 126 0 18 Aug 2017
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples Yinpeng Dong Hang Su Jun Zhu Fan Bao AAML 143 129 0 18 Aug 2017
Deconvolutional Paragraph Representation Learning Yizhe Zhang Dinghan Shen Guoyin Wang Zhe Gan Ricardo Henao Lawrence Carin SSL AI4TS 73 76 0 16 Aug 2017
DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices Dawei Li Xiaolong Wang Deguang Kong 71 99 0 16 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation Binghui Chen Weihong Deng Junping Du 73 125 0 12 Aug 2017
Deep Incremental Boosting Alan Mosca G. D. Magoulas FedML ODL 61 29 0 11 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform Chaim Baskin Natan Liss Evgenii Zheltonozhskii A. Bronstein A. Mendelson GNN MQ 112 35 0 31 Jul 2017
Recurrent Ladder Networks Isabeau Prémont-Schwarz Alexander Ilin T. Hao Antti Rasmus Rinu Boney Harri Valpola 129 41 0 28 Jul 2017
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising Peng Liu R. Fang 32 18 0 28 Jul 2017
Wavelet Convolutional Neural Networks for Texture Classification S. Fujieda Kohei Takayama T. Hachisuka 71 111 0 24 Jul 2017
Generalized Convolutional Neural Networks for Point Cloud Data Aleksandr Savchenkov Andrew Davis Xuan Zhao 3DV 3DPC 48 6 0 20 Jul 2017
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation Arslan Chaudhry P. Dokania Philip Torr 90 124 0 18 Jul 2017
Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior Peng Liu R. Fang 55 37 0 17 Jul 2017
Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy P. Ambrosini D. Ruijters W. Niessen A. Moelker T. van Walsum 46 79 0 17 Jul 2017
Efficient Architecture Search by Network Transformation Han Cai Tianyao Chen Weinan Zhang Yong Yu Jun Wang OOD 3DV 96 67 0 16 Jul 2017
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting Anders Øland Aayush Bansal Roger B. Dannenberg Bhiksha Raj 54 14 0 13 Jul 2017
Adversarial Dropout for Supervised and Semi-supervised Learning Sungrae Park Jun-Keon Park Su-Jin Shin Il-Chul Moon GAN 99 174 0 12 Jul 2017
An Analysis of Human-centered Geolocation Kaili Wang Yu-Hui Huang José Oramas Luc Van Gool Tinne Tuytelaars 60 6 0 10 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 128 81 0 10 Jul 2017
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas 3DV 3DPC 84 88 0 08 Jul 2017
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series Stanislas Chambon M. Galtier P. Arnal G. Wainrib Alexandre Gramfort MLAU AI4TS 90 489 0 05 Jul 2017
Parle: parallelizing stochastic gradient descent Pratik Chaudhari Carlo Baldassi R. Zecchina Stefano Soatto Ameet Talwalkar Adam M. Oberman ODL FedML 85 21 0 03 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 296 2,278 0 24 Jun 2017
Bayesian Conditional Generative Adverserial Networks Ehsan Abbasnejad Javen Qinfeng Shi Iman Abbasnejad Anton Van Den Hengel A. Dick GAN 58 12 0 17 Jun 2017
A Fully Trainable Network with RNN-based Pooling Shuai Li W. Li Chris Cook Ce Zhu Yanbo Gao 51 21 0 16 Jun 2017
Teaching Compositionality to CNNs Austin Stone Hua-Yan Wang Michael Stark Yi Liu D. Phoenix Dileep George CoGe 64 54 0 14 Jun 2017
Transfer entropy-based feedback improves performance in artificial neural networks S. Herzog Christian Tetzlaff Florentin Wörgötter 63 7 0 13 Jun 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 234 2,235 0 12 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 47 6 0 08 Jun 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks M. Mustafa Deborah Bard W. Bhimji Z. Lukić Rami Al-Rfou J. Kratochvil GAN 123 124 0 07 Jun 2017
Are Saddles Good Enough for Deep Learning? Adepu Ravi Sankar V. Balasubramanian 65 5 0 07 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 145 479 0 05 Jun 2017
Neuron Segmentation Using Deep Complete Bipartite Networks Jianxu Chen Sreya Banerjee Abhinav Grama Walter J. Scheirer Danny Chen 136 17 0 31 May 2017
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks M. Islam Md Abdul Aowal A. T. Minhaz Khalid Ashraf 75 189 0 27 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 56 1,210 0 25 May 2017
Towards Interrogating Discriminative Machine Learning Models Wenbo Guo Kaixuan Zhang Lin Lin Sui Huang Masashi Sugiyama FaML 53 4 0 23 May 2017
Patchnet: Interpretable Neural Networks for Image Classification Adityanarayanan Radhakrishnan Charles Durham Ali Soylemezoglu Caroline Uhler FAtt 35 12 0 23 May 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 101 597 0 22 May 2017
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk Paul Hand V. Voroninski UQCV 175 138 0 22 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 140 1,869 0 20 May 2017
Building effective deep neural network architectures one feature at a time Martin Mundt Tobias Weis K. Konda Visvanathan Ramesh 34 1 0 18 May 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 98 340 0 16 May 2017
GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data Shuchang Zhou Taihong Xiao Yi Yang Dieqiao Feng Qinyao He Weiran He GAN 62 96 0 14 May 2017
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN Hyeungill Lee Sungyeob Han Jungwoo Lee AAML GAN 78 149 0 09 May 2017