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An overview of gradient descent optimization algorithms

15 September 2016

Papers citing "An overview of gradient descent optimization algorithms"

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Deep learning observables in computational fluid dynamics K. Lye Siddhartha Mishra Deep Ray OOD AI4CE 126 159 0 07 Mar 2019
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Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling Chuan Lu Xueyu Zhu 78 11 0 01 Feb 2019
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Muhammad Ammad-ud-din E. Ivannikova Suleiman A. Khan Were Oyomno Qiang Fu K. E. Tan Adrian Flanagan FedML 111 276 0 29 Jan 2019
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Pricing options and computing implied volatilities using neural networks Shuaiqiang Liu C. Oosterlee S. Bohté 82 123 0 25 Jan 2019
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk SSeg 69 41 0 24 Jan 2019
Trust Region Value Optimization using Kalman Filtering Shirli Di-Castro Shashua Shie Mannor 61 8 0 23 Jan 2019
Salient Object Detection with Lossless Feature Reflection and Weighted Structural Loss Pingping Zhang Wen Liu Huchuan Lu Chunhua Shen 134 52 0 21 Jan 2019
Optimizing Deep Neural Networks with Multiple Search Neuroevolution Ahmed Aly David Weikersdorfer C. Delaunay 43 7 0 17 Jan 2019
Location-Centered House Price Prediction: A Multi-Task Learning Approach Guangliang Gao Z. Bao Jie Cao •. A. K. Qin Timos Sellis Zhiang Wu 44 42 0 07 Jan 2019
Improving Generalization of Deep Neural Networks by Leveraging Margin Distribution Shen-Huan Lyu Lu Wang Zhi Zhou 45 11 0 27 Dec 2018
Double Neural Counterfactual Regret Minimization Hui Li Kailiang Hu Zhibang Ge Tao Jiang Yuan Qi Le Song 76 52 0 27 Dec 2018
Deep learning electromagnetic inversion with convolutional neural networks V. Puzyrev AI4CE 50 198 0 26 Dec 2018
End-to-End Classification of Reverberant Rooms using DNNs C. Papayiannis C. Evers Patrick A. Naylor 97 12 0 21 Dec 2018
Neuromodulated Learning in Deep Neural Networks Dennis G. Wilson Sylvain Cussat-Blanc H. Luga K. Harrington 51 2 0 05 Dec 2018
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks P. Góra M. Brzeski Marcin Mo.zejko Arkadiusz Klemenko A. Kochanski 32 6 0 02 Dec 2018
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Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems Lars Fischer Jan-Menno Memmen Eric M. S. P. Veith Martin Tröschel AAML 48 20 0 15 Nov 2018
HSD-CNN: Hierarchically self decomposing CNN architecture using class specific filter sensitivity analysis Kasanagottu Sairam J. Mukherjee A. Patra P. Das 61 5 0 11 Nov 2018
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A Hitchhiker's Guide On Distributed Training of Deep Neural Networks K. Chahal Manraj Singh Grover Kuntal Dey 3DH OOD 90 54 0 28 Oct 2018
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ensmallen: a flexible C++ library for efficient function optimization Shikhar Bhardwaj Ryan R. Curtin Marcus Edel Yannis Mentekidis Conrad Sanderson 51 9 0 22 Oct 2018
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Quasi-hyperbolic momentum and Adam for deep learning Jerry Ma Denis Yarats ODL 165 130 0 16 Oct 2018
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CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms Jingwoong Kim Minkyu Kim Heungseok Park Ernar Kusdavletov Dongjun Lee A. Kim Ji-Hoon Kim Jung-Woo Ha Nako Sung 66 14 0 08 Oct 2018
NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm Zhichao Lu Ian Whalen Vishnu Boddeti Yashesh D. Dhebar Kalyanmoy Deb E. Goodman W. Banzhaf 89 81 0 08 Oct 2018
Where Did My Optimum Go?: An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods Peter Henderson Joshua Romoff Joelle Pineau 86 34 0 05 Oct 2018
Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues Yaohua Sun M. Peng Yangcheng Zhou Yuzhe Huang S. Mao 94 436 0 24 Sep 2018
Machine Learning for semi linear PDEs Quentin Chan-Wai-Nam Joseph Mikael X. Warin ODL 103 113 0 20 Sep 2018
Capacity Control of ReLU Neural Networks by Basis-path Norm Shuxin Zheng Qi Meng Huishuai Zhang Wei-neng Chen Nenghai Yu Tie-Yan Liu 67 23 0 19 Sep 2018
Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications W. Skarbek 63 12 0 18 Sep 2018
Dynamics Estimation Using Recurrent Neural Network Astha Sharma 30 1 0 17 Sep 2018
UAV Pose Estimation using Cross-view Geolocalization with Satellite Imagery Akshay Shetty Grace Gao 74 42 0 16 Sep 2018
Backtracking gradient descent method for general $C^1$ functions, with applications to Deep Learning T. Truong T. H. Nguyen 73 10 0 15 Aug 2018
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning Jiarui Fang Haohuan Fu Guangwen Yang Cho-Jui Hsieh GNN 106 25 0 13 Aug 2018
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks Yasar Sinan Nasir Dongning Guo 73 470 0 01 Aug 2018
Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information Johan Öfverstedt Joakim Lindblad Natasa Sladoje 56 42 0 30 Jul 2018
Interpreting recurrent neural networks behaviour via excitable network attractors Andrea Ceni Peter Ashwin L. Livi 130 49 0 27 Jul 2018
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Convolutional Recurrent Neural Networks for Glucose Prediction Kezhi Li J. Daniels Chengyuan Liu P. Herrero Pantelis Georgiou BDL 62 219 0 09 Jul 2018
Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation Niels Justesen R. Torrado Philip Bontrager Ahmed Khalifa Julian Togelius S. Risi 196 186 0 28 Jun 2018