AutonoML: Towards an Integrated Framework for Autonomous Machine
Learning

AutonoML: Towards an Integrated Framework for Autonomous Machine Learning

23 December 2020

Katarzyna Musial

Bogdan Gabrys

Papers citing "AutonoML: Towards an Integrated Framework for Autonomous Machine Learning"

8 / 8 papers shown

Title
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 25 26 0 16 Dec 2021
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning Tien-Dung Nguyen D. Kedziora Katarzyna Musial Bogdan Gabrys 18 5 0 01 May 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 92 607 0 13 Mar 2020
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning S. Alletto Shenyang Huang Vincent François-Lavet Yohei Nakata Guillaume Rabusseau 39 4 0 02 Mar 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 178 309 0 05 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,326 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 31 311 0 28 Jan 2016