Helix: Holistic Optimization for Accelerating Iterative Machine Learning

Helix: Holistic Optimization for Accelerating Iterative Machine Learning

14 December 2018

Aditya G. Parameswaran

Papers citing "Helix: Holistic Optimization for Accelerating Iterative Machine Learning"

12 / 12 papers shown

Title
Helix: Accelerating Human-in-the-loop Machine Learning Doris Xin Litian Ma Jialin Liu Stephen Macke Shuchen Song Aditya G. Parameswaran VLM 23 32 0 03 Aug 2018
How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature Doris Xin Litian Ma Shuchen Song Aditya G. Parameswaran 25 25 0 27 Mar 2018
Snorkel: Rapid Training Data Creation with Weak Supervision Alexander Ratner Stephen H. Bach Henry R. Ehrenberg Jason Alan Fries Sen Wu Christopher Ré 62 1,021 0 28 Nov 2017
Declarative Machine Learning - A Classification of Basic Properties and Types Matthias Boehm A. Evfimievski Niketan Pansare B. Reinwald 24 15 0 19 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 189 11,135 0 14 Mar 2016
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models S. Krishnan Jiannan Wang Eugene Wu Michael Franklin Ken Goldberg HAI 37 28 0 15 Jan 2016
MLlib: Machine Learning in Apache Spark Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan R. Sparks Shivaram Venkataraman ... Reynold Xin Michael Franklin R. Zadeh Matei A. Zaharia Ameet Talwalkar 47 1,782 0 26 May 2015
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 109 5,323 0 12 Mar 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions A. Karpathy Li Fei-Fei 60 5,569 0 07 Dec 2014
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 300 33,445 0 16 Oct 2013
Distributed GraphLab: A Framework for Machine Learning in the Cloud Yucheng Low Joseph E. Gonzalez Aapo Kyrola Danny Bickson Carlos Guestrin J. M. Hellerstein GNN FedML 69 1,069 0 26 Apr 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 142 2,272 0 28 Jun 2011