Deep Learning in Neural Networks: An Overview

30 April 2014

Papers citing "Deep Learning in Neural Networks: An Overview"

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Title
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 18 226 0 22 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 81 1,455 0 10 May 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 12 1,057 0 22 Apr 2018
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 37 661 0 20 Apr 2018
Deep Embedding Kernel Linh Le Ying Xie 34 10 0 16 Apr 2018
DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks Huili Chen B. Rouhani F. Koushanfar FedML 27 61 0 10 Apr 2018
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic Ole-Christoffer Granmo 7 148 0 04 Apr 2018
A Survey on Deep Learning Methods for Robot Vision Javier Ruiz-del-Solar P. Loncomilla Naiomi Soto 31 60 0 28 Mar 2018
World Models David R Ha Jürgen Schmidhuber SyDa 32 1,031 0 27 Mar 2018
A Survey of Deep Learning Techniques for Mobile Robot Applications Jahanzaib Shabbir T. Anwer 23 36 0 20 Mar 2018
Ocean Eddy Identification and Tracking using Neural Networks K. Franz R. Roscher Andres Milioto Susanne Wenzel J. Kusche AI4Cl 28 69 0 20 Mar 2018
Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats Krunoslav Vinicki Pierluigi Ferrari M. Belic R. Turk 21 19 0 13 Mar 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 6 180 0 12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 45 1,306 0 12 Mar 2018
A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning Shengdong Du Tianrui Li Xun Gong S. Horng AI4TS 28 150 0 06 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 874 0 03 Mar 2018
Diversity and degrees of freedom in regression ensembles Henry W. J. Reeve Gavin Brown UQCV 25 22 0 01 Mar 2018
Deep Reinforcement Learning for Join Order Enumeration Ryan Marcus Olga Papaemmanouil 27 230 0 28 Feb 2018
Solving for high dimensional committor functions using artificial neural networks Y. Khoo Jianfeng Lu Lexing Ying 28 137 0 28 Feb 2018
A representer theorem for deep neural networks M. Unser 35 98 0 26 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 703 0 26 Feb 2018
One Big Net For Everything Jürgen Schmidhuber CLL 34 34 0 24 Feb 2018
Deep learning algorithm for data-driven simulation of noisy dynamical system K. Yeo Igor Melnyk AI4TS 29 93 0 22 Feb 2018
Machine learning for Internet of Things data analysis: A survey Mohammad Saeid Mahdavinejad M. Rezvan M. Barekatain Peyman Adibi Payam Barnaghi A. Sheth 13 900 0 17 Feb 2018
Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt J. Nathan Kutz 24 31 0 15 Feb 2018
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks Jingfan Fan Xiaohuan Cao P. Yap Dinggang Shen 30 252 0 13 Feb 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively Masaaki Imaizumi Kenji Fukumizu 23 123 0 13 Feb 2018
signSGD: Compressed Optimisation for Non-Convex Problems Jeremy Bernstein Yu-Xiang Wang Kamyar Azizzadenesheli Anima Anandkumar FedML ODL 44 1,021 0 13 Feb 2018
Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding K. Hundman V. Constantinou Christopher Laporte Ian Colwell T. Söderström AI4TS 16 1,223 0 13 Feb 2018
ThUnderVolt: Enabling Aggressive Voltage Underscaling and Timing Error Resilience for Energy Efficient Deep Neural Network Accelerators Jeff Zhang Kartheek Rangineni Zahra Ghodsi S. Garg 36 118 0 11 Feb 2018
Texture Segmentation Based Video Compression Using Convolutional Neural Networks Chichen Fu Di Chen Edward J. Delp Zoe Liu F. Zhu 16 8 0 08 Feb 2018
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural Nets Charles B. Delahunt J. Riffell J. Nathan Kutz 18 28 0 08 Feb 2018
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features N. Madiraju Seid M. Sadat Dimitry Fisher H. Karimabadi AI4TS 19 109 0 04 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 21 403 0 02 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 43 87 0 02 Feb 2018
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification Alan J. X. Guo Fei Zhu 16 36 0 31 Jan 2018
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR Mohsen Ghafoorian Jonas Teuwen R. Manniesing F.‐E. Leeuw Bram van Ginneken N. Karssemeijer B. Platel 31 18 0 15 Jan 2018
A Survey on Compiler Autotuning using Machine Learning Amir H. Ashouri W. Killian John Cavazos G. Palermo Cristina Silvano 35 200 0 13 Jan 2018
Solutions to problems with deep learning J. Wolff 32 10 0 08 Jan 2018
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation Siwei Feng Marco F. Duarte 28 43 0 07 Jan 2018
Accelerated Training for Massive Classification via Dynamic Class Selection Xingcheng Zhang Lei Yang Junjie Yan Dahua Lin 33 41 0 05 Jan 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 28 680 0 28 Dec 2017
Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology Andreas Holzinger Bernd Malle Peter Kieseberg P. Roth Heimo Muller Robert Reihs K. Zatloukal 19 91 0 18 Dec 2017
Dynamic Weight Alignment for Temporal Convolutional Neural Networks Brian Kenji Iwana S. Uchida AI4TS 24 8 0 18 Dec 2017
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017
Time Limits in Reinforcement Learning Fabio Pardo Arash Tavakoli Vitaly Levdik Petar Kormushev CLL 44 158 0 01 Dec 2017
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 22 258 0 24 Nov 2017
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding K. Hartmann R. Schirrmeister T. Ball 34 27 0 21 Nov 2017
Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train V. Codreanu Damian Podareanu V. Saletore 39 55 0 12 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017