Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

23 November 2015

Papers citing "Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)"

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Title
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei Tengyu Ma 17 109 0 09 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 26 161 0 08 May 2019
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions Gianluca Maguolo L. Nanni Stefano Ghidoni 18 62 0 07 May 2019
Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation Yifeng Jiang Tom Van Wouwe F. D. Groote C. Karen Liu 27 75 0 30 Apr 2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation Yuzhou Liu DeLiang Wang 27 157 0 25 Apr 2019
Deep Parametric Shape Predictions using Distance Fields Dmitriy Smirnov Matthew Fisher Vladimir G. Kim Richard Y. Zhang Justin Solomon 22 54 0 18 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 30 128 0 17 Apr 2019
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching René Schuster Oliver Wasenmüller C. Unger D. Stricker 16 2 0 12 Apr 2019
Stokes Inversion based on Convolutional Neural Networks A. Ramos Institute for Solar Physics 17 45 0 07 Apr 2019
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks René Schuster Oliver Wasenmüller C. Unger D. Stricker MDE 24 50 0 05 Apr 2019
Palmprint image registration using convolutional neural networks and Hough transform Mohsen Ahmadi H. Soleimani 15 3 0 01 Apr 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport Matthew Hoffman Pavel Sountsov Joshua V. Dillon I. Langmore Dustin Tran Srinivas Vasudevan BDL 27 103 0 09 Mar 2019
RoPAD: Robust Presentation Attack Detection through Unsupervised Adversarial Invariance Ayush Jaiswal Shuai Xia I. Masi Wael AbdAlmageed AAML 13 15 0 08 Mar 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 13 499 0 01 Mar 2019
Deep Learning How to Fit an Intravoxel Incoherent Motion Model to Diffusion-Weighted MRI S. Barbieri O. Gurney-Champion R. Klaassen H. Thoeny 13 101 0 28 Feb 2019
Adaptive Estimators Show Information Compression in Deep Neural Networks Ivan Chelombiev Conor J. Houghton Cian O’Donnell 14 34 0 24 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara 24 11 0 13 Feb 2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT B. D. de Vos J. Wolterink T. Leiner P. D. de Jong Nikolas Lessmann Ivana Isgum 18 86 0 12 Feb 2019
Multikernel activation functions: formulation and a case study Simone Scardapane Elena Nieddu D. Firmani P. Merialdo 28 6 0 29 Jan 2019
Music Artist Classification with Convolutional Recurrent Neural Networks Zain Nasrullah Yue Zhao 17 43 0 14 Jan 2019
A Constructive Approach for One-Shot Training of Neural Networks Using Hypercube-Based Topological Coverings W. B. Daniel Enoch Yeung 18 2 0 09 Jan 2019
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation Lianfa Li Ying Fang Jun Wu Jinfeng Wang 22 13 0 29 Dec 2018
Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning Hock Hung Chieng Noorhaniza Wahid P. Ong Sai Raj Kishore Perla 14 41 0 15 Dec 2018
Parameterization of Sequence of MFCCs for DNN-based voice disorder detection Tomasz Grzywalski Adam Maciaszek Adam Biniakowski Jan Orwat S. Drgas ... Riccardo Belluzzo Krzysztof Joachimiak Dawid Niemiec Jakub Ptaszynski Krzysztof Szarzynski 11 19 0 14 Dec 2018
Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks Kevin Louis de Jong Anna Sergeevna Bosman SSL 17 72 0 14 Dec 2018
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions Rohan Chandra Uttaran Bhattacharya Aniket Bera Tianyi Zhou 25 256 0 12 Dec 2018
Learning representations of molecules and materials with atomistic neural networks Kristof T. Schütt A. Tkatchenko K. Müller NAI 22 13 0 11 Dec 2018
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning Aaron Defazio Léon Bottou UQCV DRL 23 112 0 11 Dec 2018
Stagewise Training Accelerates Convergence of Testing Error Over SGD Zhuoning Yuan Yan Yan R. L. Jin Tianbao Yang 52 11 0 10 Dec 2018
3D Scene Parsing via Class-Wise Adaptation Daichi Ono Hiroyuki Yabe Tsutomu Horikawa 3DV 3DPC 22 0 0 10 Dec 2018
Fast and Accurate Person Re-Identification with RMNet Evgeny Izutov 3DH 32 6 0 06 Dec 2018
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,057 0 06 Dec 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models Daniil Polykovskiy Alexander Zhebrak Benjamín Sánchez-Lengeling Sergey Golovanov Oktai Tatanov ... Simon Johansson Hongming Chen Sergey I. Nikolenko Alán Aspuru-Guzik Alex Zhavoronkov ELM 197 633 0 29 Nov 2018
Structure-Based Networks for Drug Validation Cătălina Cangea Arturas Grauslys Pietro Lió F. Falciani 11 1 0 21 Nov 2018
A General Method for Amortizing Variational Filtering Joseph Marino Milan Cvitkovic Yisong Yue 27 34 0 13 Nov 2018
Agent Embeddings: A Latent Representation for Pole-Balancing Networks Oscar Chang Robert Kwiatkowski Siyuan Chen Hod Lipson 19 6 0 12 Nov 2018
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences Xuesu Xiao Jongsoo Keum Mohamed Suhail 19 411 0 06 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 20 618 0 02 Nov 2018
A Methodology for Automatic Selection of Activation Functions to Design Hybrid Deep Neural Networks Alberto Marchisio Muhammad Abdullah Hanif Semeen Rehman Maurizio Martina Muhammad Shafique 24 11 0 27 Oct 2018
Applying Deep Learning To Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tao Xu Shulin Yang ... Qing Zhang Nick Barrow-Williams B. Turnbull Brendan M. Collins Thomas Legrand DML 17 83 0 22 Oct 2018
Nonlinear integro-differential operator regression with neural networks Ravi G. Patel O. Desjardins 11 18 0 19 Oct 2018
Sequenced-Replacement Sampling for Deep Learning C. Ho Dae Hoon Park Wei Yang Yi Chang 24 0 0 19 Oct 2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks Mahdi Ahmadi Alireza Norouzi S. M. Reza Soroushmehr N. Karimi Kayvan Najarian S. Samavi Ali Emami WIGM 12 219 0 16 Oct 2018
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning Yuan Gao Fangkai Yang Martin Frisk Daniel Hernández Christopher E. Peters Ginevra Castellano 24 5 0 16 Oct 2018
Task-Embedded Control Networks for Few-Shot Imitation Learning Stephen James Michael Bloesch Andrew J. Davison 23 134 0 08 Oct 2018
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network Masayuki Tanaka 25 54 0 03 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang J. Hopcroft AAML OOD 14 131 0 01 Oct 2018
LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks Luca Caltagirone M. Bellone Lennart Svensson M. Wahde 16 302 0 21 Sep 2018
Machine Learning for semi linear PDEs Quentin Chan-Wai-Nam Joseph Mikael X. Warin ODL 16 111 0 20 Sep 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 20 21 0 18 Sep 2018