Benchmark and Survey of Automated Machine Learning Frameworks

26 April 2019

Papers citing "Benchmark and Survey of Automated Machine Learning Frameworks"

8 / 8 papers shown

Title
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design Qian Zhu Dakuo Wang Shuai Ma April Yi Wang Zixin Chen Udayan Khurana Xiaojuan Ma 39 1 0 23 May 2024
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 22 28 0 12 Feb 2023
AIPerf: Automated machine learning as an AI-HPC benchmark Zhixiang Ren Yongheng Liu Tianhui Shi Lei Xie Yue Zhou Jidong Zhai Youhui Zhang Yunquan Zhang Wenguang Chen 17 22 0 17 Aug 2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks Qitao Shi Ya-Lin Zhang Longfei Li Xinxing Yang Meng Li Jun Zhou 26 29 0 05 Mar 2020
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs Muhan Zhang Shali Jiang Zhicheng Cui Roman Garnett Yixin Chen GNN BDL CML 6 196 0 24 Apr 2019
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 893 0 11 Nov 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Automating biomedical data science through tree-based pipeline optimization Randal S. Olson Ryan J. Urbanowicz Peter C. Andrews Nicole A. Lavender L. C. Kidd J. Moore AI4CE 24 311 0 28 Jan 2016