Infrastructure for Usable Machine Learning: The Stanford DAWN Project

Infrastructure for Usable Machine Learning: The Stanford DAWN Project

22 May 2017

Peter Bailis

Christopher Ré

Matei A. Zaharia

Papers citing "Infrastructure for Usable Machine Learning: The Stanford DAWN Project"

5 / 5 papers shown

Title
Reasonable Scale Machine Learning with Open-Source Metaflow Jacopo Tagliabue Hugo Bowne-Anderson Ville Tuulos Savin Goyal R. Cledat David Berg AIFin AI4CE 40 6 0 21 Mar 2023
Software Engineering for AI-Based Systems: A Survey Silverio Martínez-Fernández Justus Bogner Xavier Franch Marc Oriol Julien Siebert Adam Trendowicz Anna Maria Vollmer Stefan Wagner 29 211 0 05 May 2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning Hantian Zhang Xu Chu Abolfazl Asudeh S. Navathe FaML VLM 29 45 0 13 Mar 2021
Democratisation of Usable Machine Learning in Computer Vision R. Bond A. Koene A. Dix J. Boger M. Mulvenna M. Galushka Brendon Bradley Fiona Browne Hui Wang A. Wong 22 6 0 18 Feb 2019
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 109 1,505 0 25 Jan 2017