XAutoML: A Visual Analytics Tool for Understanding and Validating
Automated Machine Learning

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning

24 February 2022

Marc-André Zöller

Papers citing "XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning"

18 / 18 papers shown

Title
AlphaD3M: Machine Learning Pipeline Synthesis Iddo Drori Yamuna Krishnamurthy Rémi Rampin Raoni Lourenço Jorge Piazentin Ono Kyunghyun Cho Claudio Silva J. Freire 52 85 0 03 Nov 2021
How Much Automation Does a Data Scientist Want? Dakuo Wang Q. V. Liao Yunfeng Zhang Udayan Khurana Horst Samulowitz Soya Park Michael J. Muller Lisa Amini AI4CE 62 55 0 07 Jan 2021
Amazon SageMaker Autopilot: a white box AutoML solution at scale Piali Das Laurence Rouesnel Nikita Ivkin Tanya Bansal Zohar Karnin ... Giovanni Zappella Cedric Archembeau Matthias Seeger Bhaskar Dutt K. Venkateswar 47 69 0 15 Dec 2020
Beyond Accuracy: Behavioral Testing of NLP models with CheckList Marco Tulio Ribeiro Tongshuang Wu Carlos Guestrin Sameer Singh ELM 196 1,100 0 08 May 2020
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 179 621 0 13 Mar 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 117 715 0 08 Jan 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 68 203 0 12 Nov 2019
Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 39 18 0 06 Nov 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 59 237 0 29 Jul 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 583 5,769 0 25 Jul 2019
Conditional Parallel Coordinates D. Weidele 33 17 0 18 Jun 2019
A User-based Visual Analytics Workflow for Exploratory Model Analysis Dylan Cashman S. Humayoun Florian Heimerl Kendall Park Subhajit Das ... Abigail Mosca J. Stasko Alex Endert Michael Gleicher Remco Chang 38 41 0 27 Sep 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 191 1,093 0 04 Jul 2018
Autostacker: A Compositional Evolutionary Learning System Boyuan Chen Harvey Wu Warren Mo I. Chattopadhyay Hod Lipson BDL 41 84 0 02 Mar 2018
The Mythos of Model Interpretability Zachary Chase Lipton FaML 166 3,685 0 10 Jun 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 211 2,321 0 21 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.0K 16,931 0 16 Feb 2016
ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter Thomas Stuetzle Kevin Leyton-Brown T. Stützle 80 1,066 0 15 Jan 2014