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
All-Weather Deep Outdoor Lighting Estimation Jinsong Zhang Kalyan Sunkavalli Yannick Hold-Geoffroy Sunil Hadap Jonathan Eisenmann Jean-François Lalonde 3DV 16 75 0 12 Jun 2019
S-ConvNet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images M. Islam Daniel Massicotte F. Nougarou P. Massicotte Weiping Zhu 13 9 0 08 Jun 2019
Proximal Reliability Optimization for Reinforcement Learning Narendra Patwardhan Zequn Wang 18 0 0 03 Jun 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 16 129 0 24 May 2019
Universal Approximation with Deep Narrow Networks Patrick Kidger Terry Lyons 34 327 0 21 May 2019
Minimal Achievable Sufficient Statistic Learning Milan Cvitkovic Günther Koliander 22 12 0 19 May 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 13 94 0 17 May 2019
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes Tae Joon Jun Y. Eom Dohyeun Kim Cherry Kim Ji-Hye Park Hoang Minh Nguyen Daeyoung Kim MedIm 11 28 0 16 May 2019
Medical image super-resolution method based on dense blended attention network Kewen Liu Yuan Ma Hongxia Xiong Zejun Yan Zhijun Zhou Panpan Fang Chaoyang Liu SupR MedIm 20 9 0 13 May 2019
Task-Agnostic Dynamics Priors for Deep Reinforcement Learning Yilun Du Karthik Narasimhan 19 33 0 13 May 2019
Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network Wenmian Yang Weijia Jia Xiaojie Zhou Yutao Luo 23 141 0 10 May 2019
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 Chenxi Liu 30 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 33 128 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 18 2 0 12 Apr 2019
Stokes Inversion based on Convolutional Neural Networks A. Ramos Institute for Solar Physics 25 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 15 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 16 34 0 24 Feb 2019
Emergent Coordination Through Competition Siqi Liu Guy Lever J. Merel S. Tunyasuvunakool N. Heess T. Graepel 39 148 0 19 Feb 2019
On the Impact of the Activation Function on Deep Neural Networks Training Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 9 195 0 19 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 19 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
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks Steffen Eger Paul Youssef Iryna Gurevych LLMSV 17 76 0 09 Jan 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks Mohamed Yousef K. Hussain U. S. Mohammed 3DV 18 124 0 31 Dec 2018
Autoencoder Based Residual Deep Networks for Robust Regression Prediction and Spatiotemporal Estimation Lianfa Li Ying Fang Jun Wu Jinfeng Wang 27 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 19 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 13 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 28 256 0 12 Dec 2018
Learning representations of molecules and materials with atomistic neural networks Kristof T. Schütt A. Tkatchenko K. Müller NAI 24 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 57 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 1,059 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 197 638 0 29 Nov 2018
Regularizing by the Variance of the Activations' Sample-Variances Etai Littwin Lior Wolf VLM 15 12 0 21 Nov 2018
Structure-Based Networks for Drug Validation Cătălina Cangea Arturas Grauslys Pietro Lió F. Falciani 13 1 0 21 Nov 2018