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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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Knowledge-guided Unsupervised Rhetorical Parsing for Text Summarization Shengluan Hou R. Lu 26 16 0 14 Oct 2019
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Distributed Learning of Deep Neural Networks using Independent Subnet Training John Shelton Hyatt Cameron R. Wolfe Michael Lee Yuxin Tang Anastasios Kyrillidis Christopher M. Jermaine OOD 92 39 0 04 Oct 2019
Stochastic gradient descent for hybrid quantum-classical optimization R. Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Fährmann Barthélémy Meynard-Piganeau Jens Eisert 96 241 0 02 Oct 2019
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Deep Convolutions for In-Depth Automated Rock Typing E. E. Baraboshkin L. Ismailova D. Orlov E. Zhukovskaya G. Kalmykov O. V. Khotylev E. Baraboshkin D. Koroteev 55 85 0 23 Sep 2019
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning Joao G. Ribeiro Francisco S. Melo João Dias CLL 56 12 0 22 Sep 2019
A Multi-level procedure for enhancing accuracy of machine learning algorithms K. Lye Siddhartha Mishra Roberto Molinaro 66 32 0 20 Sep 2019
Automated Architecture Design for Deep Neural Networks Steven Abreu 3DV AI4CE 67 16 0 22 Aug 2019
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Learn to Compress CSI and Allocate Resources in Vehicular Networks Liang Wang Hao Ye Le Liang Geoffrey Ye Li 47 40 0 12 Aug 2019
Learning Compact Target-Oriented Feature Representations for Visual Tracking Chenglong Li Y. Huang Liang Wang Jin Tang Liang Lin 39 1 0 05 Aug 2019
Stress-Plus-X (SPX) Graph Layout S. Devkota Abu Reyan Ahmed F. D. Luca Kate Isaacs Stephen Kobourov 50 14 0 04 Aug 2019
The Wang-Landau Algorithm as Stochastic Optimization and Its Acceleration Chenguang Dai Jun S. Liu 64 4 0 27 Jul 2019
DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization Jiyang Bai Yuxiang Ren Jiawei Zhang ODL 65 1 0 25 Jul 2019
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Incremental Concept Learning via Online Generative Memory Recall Huaiyu Li Weiming Dong Bao-Gang Hu CLL 62 23 0 05 Jul 2019
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A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 90 566 0 17 Jun 2019
Stochastic learning control of inhomogeneous quantum ensembles Gabriel Turinici 11 9 0 07 Jun 2019
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images Nicholas O. Ralph Ray P. Norris Guangchi Fang Laurence A. F. Park T. J. Galvin ... H. Andernach Chris J. Lintott L. Rudnick S. Shabala O. I. Wong 59 34 0 07 Jun 2019
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A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access Jinzhi Lin Shengzhong Feng Zhile Yang Yun Zhang Yong Zhang 81 33 0 04 Jun 2019
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images Yunzhe Xue F. Farhat Olga Boukrina A. Barrett J. Binder Usman Roshan William W. Graves MedIm 50 64 0 26 May 2019
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Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning Dimitrije Jankov Shangyu Luo Binhang Yuan Zhuhua Cai Jia Zou C. Jermaine Zekai J. Gao 71 62 0 25 Apr 2019
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Convergence rates for the stochastic gradient descent method for non-convex objective functions Benjamin J. Fehrman Benjamin Gess Arnulf Jentzen 98 101 0 02 Apr 2019
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera Jingfan Wang Lyne P. Tchapmi A. Ravikumar M. McGuire Clay S. Bell D. Zimmerle Silvio Savarese A. Brandt 48 104 0 01 Apr 2019
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network Yushan Gao A. Biguri T. Blumensath 67 3 0 28 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools R. Mayer Hans-Arno Jacobsen GNN 83 193 0 27 Mar 2019
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network Hee-Jin Yu Chang-Hwan Son 32 49 0 25 Mar 2019