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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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Title
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution Honglei Zhang S. Kiranyaz Moncef Gabbouj 41 21 0 10 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 158 125 0 10 Sep 2018
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework Wei Wang Xucheng Li 42 5 0 06 Sep 2018
Unsupervised Learning of View-invariant Action Representations Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli SSL 97 100 0 06 Sep 2018
Data Dropout: Optimizing Training Data for Convolutional Neural Networks Tianyang Wang Jun Huan Bo Li OOD 74 57 0 01 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 94 88 0 31 Aug 2018
Notes on Deep Learning for NLP A. Tixier VLM 64 15 0 29 Aug 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? Fréderic Godin Kris Demuynck J. Dambre W. D. Neve T. Demeester AI4CE 82 17 0 28 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 81 10 0 27 Aug 2018
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks Dongyu Liu Weiwei Cui Kai Jin Yuxiao Guo Huamin Qu HAI 53 35 0 26 Aug 2018
Adversarial Sampling for Active Learning Christoph Mayer Radu Timofte GAN 150 117 0 20 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning Ting Yu Jingfeng Wu Jinwen Ma Zhanxing Zhu 58 35 0 18 Aug 2018
Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks David Tellez M. Balkenhol I. Otte-Höller Rob van de Loo R. Vogels ... S. Mol N. Karssemeijer G. Litjens J. A. van der Laak F. Ciompi 68 246 0 17 Aug 2018
Genre-Agnostic Key Classification With Convolutional Neural Networks Filip Korzeniowski Gerhard Widmer 39 31 0 16 Aug 2018
iNNvestigate neural networks! Maximilian Alber Sebastian Lapuschkin P. Seegerer Miriam Hagele Kristof T. Schütt G. Montavon Wojciech Samek K. Müller Sven Dähne Pieter-Jan Kindermans 79 348 0 13 Aug 2018
Automatically designing CNN architectures using genetic algorithm for image classification Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen 3DV 90 615 0 11 Aug 2018
Deep Learning for Single Image Super-Resolution: A Brief Review Wenming Yang Xuechen Zhang Yapeng Tian Wei Wang Jing-Hao Xue 60 909 0 09 Aug 2018
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks Alex Bauerle Heiko Neumann Timo Ropinski VLM NoLa 33 4 0 09 Aug 2018
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease J. Rieke Fabian Eitel M. Weygandt J. Haynes K. Ritter FAtt 70 86 0 08 Aug 2018
Learning Multi-scale Features for Foreground Segmentation Long Ang Lim H. Keles SSeg 62 179 0 04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 83 85 0 03 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 101 1,095 0 31 Jul 2018
Unbounded Output Networks for Classification Stefan Elfwing E. Uchibe Kenji Doya 36 0 0 25 Jul 2018
Explainable Neural Computation via Stack Neural Module Networks Ronghang Hu Jacob Andreas Trevor Darrell Kate Saenko LRM OCL 108 199 0 23 Jul 2018
Explaining Image Classifiers by Counterfactual Generation C. Chang Elliot Creager Anna Goldenberg David Duvenaud VLM 85 266 0 20 Jul 2018
Adaptive Neural Trees Ryutaro Tanno Kai Arulkumaran Daniel C. Alexander A. Criminisi A. Nori 428 168 0 17 Jul 2018
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps Kristoffer Wickstrøm Michael C. Kampffmeyer Robert Jenssen UQCV 87 77 0 16 Jul 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 59 5 0 16 Jul 2018
Model Reconstruction from Model Explanations S. Milli Ludwig Schmidt Anca Dragan Moritz Hardt FAtt 64 179 0 13 Jul 2018
Large-Scale Visual Speech Recognition Brendan Shillingford Yannis Assael Matthew W. Hoffman T. Paine Cían Hughes ... Marie Mulville Ben Coppin Ben Laurie A. Senior Nando de Freitas 95 155 0 13 Jul 2018
Deep Learning in the Wild Thilo Stadelmann Mohammadreza Amirian Ismail Arabaci M. Arnold G. Duivesteijn ... Melanie Geiger Stefan Lörwald B. Meier Katharina Rombach Lukas Tuggener 67 42 0 13 Jul 2018
A feature agnostic approach for glaucoma detection in OCT volumes S. Maetschke B. Antony H. Ishikawa Gadi Wollstein Joel S. Schuman Rahil Garvani 72 168 0 12 Jul 2018
Automatically Composing Representation Transformations as a Means for Generalization Michael Chang Abhishek Gupta Sergey Levine Thomas Griffiths 85 70 0 12 Jul 2018
Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures Sergey Bartunov Adam Santoro Blake A. Richards Luke Marris Geoffrey E. Hinton Timothy Lillicrap 109 244 0 12 Jul 2018
Presentation Attack Detection for Cadaver Iris Mateusz Trokielewicz A. Czajka P. Maciejewicz CVBM 52 24 0 11 Jul 2018
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines Mateusz Trokielewicz A. Czajka P. Maciejewicz CVBM 130 2 0 11 Jul 2018
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity Gerald Friedland Jingkang Wang R. Jia Yue Liu 40 2 0 10 Jul 2018
Densely Connected CNNs for Bird Audio Detection Thomas Pellegrini 54 32 0 08 Jul 2018
End-to-End Race Driving with Deep Reinforcement Learning M. Jaritz Raoul de Charette Marin Toromanoff E. Perot F. Nashashibi 60 169 0 06 Jul 2018
An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness Nevrez Imamoglu Wataru Shimoda Chi Zhang Yuming Fang Asako Kanezaki Keiji Yanai Y. Nishida FAtt 36 7 0 04 Jul 2018
Confidential Inference via Ternary Model Partitioning Zhongshu Gu Heqing Huang Jialong Zhang D. Su Hani Jamjoom Ankita Lamba Dimitrios E. Pendarakis Ian Molloy 103 53 0 03 Jul 2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing Diederik Paul Moeys Daniel Neil Federico Corradi E. Kerr P. Vance Gautham P. Das S. Coleman T. McGinnity D. Kerr T. Delbruck 50 13 0 02 Jul 2018
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 134 684 0 28 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition Chaofan Chen Oscar Li Chaofan Tao A. Barnett Jonathan Su Cynthia Rudin 316 1,191 0 27 Jun 2018
Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang Paul Vicol James Lucas Li Gu Roger C. Grosse R. Zemel UQCV GAN AAML BDL 71 56 0 27 Jun 2018
Gradient Adversarial Training of Neural Networks Ayan Sinha Zhao Chen Vijay Badrinarayanan Andrew Rabinovich AAML 63 33 0 21 Jun 2018
Como funciona o Deep Learning M. Ponti G. B. P. D. Costa 44 14 0 20 Jun 2018
Maximally Invariant Data Perturbation as Explanation Satoshi Hara Kouichi Ikeno Tasuku Soma Takanori Maehara AAML 72 8 0 19 Jun 2018
In situ TensorView: In situ Visualization of Convolutional Neural Networks Xinyu Chen Qiang Guan Li-Ta Lo S. Su J. Ahrens Trilce Estrada GNN ViT 23 1 0 16 Jun 2018
Three dimensional Deep Learning approach for remote sensing image classification A. Ben Hamida A. Benoît P. Lambert C. Ben Amar 105 587 0 15 Jun 2018