Understanding Deep Convolutional Networks

19 January 2016

Papers citing "Understanding Deep Convolutional Networks"

39 / 89 papers shown

Title
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 29 55 0 15 Jan 2019
Exploring spectro-temporal features in end-to-end convolutional neural networks Sean Robertson Gerald Penn Yingxue Wang 18 4 0 01 Jan 2019
Towards a topological-geometrical theory of group equivariant non-expansive operators for data analysis and machine learning M. Bergomi Patrizio Frosini D. Giorgi Nicola Quercioli AI4CE 27 48 0 31 Dec 2018
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 17 180 0 29 Dec 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 11 41 0 18 Nov 2018
Learning to Predict the Cosmological Structure Formation Siyu He Yin Li Yu Feng S. Ho Siamak Ravanbakhsh Wei Chen Barnabás Póczós 28 168 0 15 Nov 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 33 166 0 01 Nov 2018
Phase Harmonic Correlations and Convolutional Neural Networks S. Mallat Sixin Zhang G. Rochette 6 6 0 29 Oct 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 21 84 0 17 Sep 2018
An empirical study on evaluation metrics of generative adversarial networks Qiantong Xu Gao Huang Yang Yuan Chuan Guo Yu Sun Felix Wu Kilian Q. Weinberger EGVM 29 268 0 19 Jun 2018
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty Hao Zhou Yunyang Xiong Vikas Singh UQCV BDL 52 4 0 10 Jun 2018
Nonlinear Acceleration of CNNs Damien Scieur Edouard Oyallon Alexandre d’Aspremont Francis R. Bach 23 11 0 01 Jun 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 24 16 0 24 May 2018
Generative networks as inverse problems with Scattering transforms Tomás Angles S. Mallat GAN 43 31 0 17 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 32 205 0 26 Apr 2018
Analysis on the Nonlinear Dynamics of Deep Neural Networks: Topological Entropy and Chaos Husheng Li 25 11 0 03 Apr 2018
Seeing Voices and Hearing Faces: Cross-modal biometric matching Arsha Nagrani Samuel Albanie Andrew Zisserman CVBM 24 220 0 01 Apr 2018
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials Nicholas R. Waytowich Vernon J. Lawhern J. Garcia J. Cummings J. Faller P. Sajda J. Vettel 22 180 0 12 Mar 2018
i-RevNet: Deep Invertible Networks J. Jacobsen A. Smeulders Edouard Oyallon 52 333 0 20 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 29 31 0 15 Feb 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 27 1,227 0 27 Dec 2017
Overcomplete Frame Thresholding for Acoustic Scene Analysis Romain Cosentino Randall Balestriero Richard Baraniuk Ankit B. Patel 15 3 0 25 Dec 2017
A representer theorem for deep kernel learning B. Bohn M. Griebel C. Rieger 16 55 0 29 Sep 2017
Basic Filters for Convolutional Neural Networks Applied to Music: Training or Design? M. Dörfler Thomas Grill Roswitha Bammer A. Flexer 25 7 0 07 Sep 2017
Machine listening intelligence Carmine-Emanuele Cella 18 4 0 29 Jun 2017
Gabor frames and deep scattering networks in audio processing Roswitha Bammer M. Dörfler Pavol Harar 21 7 0 27 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 25 5 0 08 Jun 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 28 157 0 27 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 183 933 0 21 Oct 2016
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier M. Panda 35 4 0 28 Sep 2016
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 62 671 0 30 Aug 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks Adam S. Charles Dong Yin Christopher Rozell GNN 33 20 0 26 May 2016
A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy Yanan Zhu Ouyang Qi Youdong Mao 19 131 0 18 May 2016
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks Jun-Cheng Chen Rajeev Ranjan Swami Sankaranarayanan Amit Kumar Ching-Hui Chen Vishal M. Patel Carlos D. Castillo Rama Chellappa CVBM 32 97 0 09 May 2016
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images Debapriya Maji Anirban Santara Pabitra Mitra Debdoot Sheet MedIm 21 127 0 15 Mar 2016
Deep Haar Scattering Networks Xiuyuan Cheng Xu Chen S. Mallat 26 30 0 30 Sep 2015
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014