Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload

23 March 2021

Papers citing "Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload"

9 / 9 papers shown

Title
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries D. Marin Zijian He Peter Vajda Priyam Chatterjee Sam S. Tsai Fei Yang Yuri Boykov SSeg 36 87 0 16 Jul 2019
Measuring the Effects of Data Parallelism on Neural Network Training Christopher J. Shallue Jaehoon Lee J. Antognini J. Mamou J. Ketterling Yao Wang 82 409 0 08 Nov 2018
Learning State Representations for Query Optimization with Deep Reinforcement Learning Jennifer Ortiz Magdalena Balazinska J. Gehrke S. S. Keerthi 84 162 0 22 Mar 2018
Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks Nghi D. Q. Bui Lingixao Jiang Y. Yu 41 40 0 17 Oct 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 429 2,945 0 15 Sep 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 93 1,303 0 23 Apr 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 684 31,544 0 16 Jan 2013