Position: A Call to Action for a Human-Centered AutoML Paradigm

Position: A Call to Action for a Human-Centered AutoML Paradigm

5 June 2024

Marius Lindauer

Julia Moosbauer

Alexander Tornede

Andreas Mueller

Matthias Feurer

Bernd Bischl

Papers citing "Position: A Call to Action for a Human-Centered AutoML Paradigm"

12 / 12 papers shown

Title
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 38 0 0 07 May 2025
Dataset-Agnostic Recommender Systems Tri Kurniawan Wijaya Edoardo DÁmico Xinyang Shao 29 0 0 13 Jan 2025
AutoML-GPT: Automatic Machine Learning with GPT Shujian Zhang Chengyue Gong Lemeng Wu Xingchao Liu Mi Zhou LLMAG 52 59 0 04 May 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 23 17 0 15 Mar 2023
Explaining Hyperparameter Optimization via Partial Dependence Plots Julia Moosbauer J. Herbinger Giuseppe Casalicchio Marius Lindauer Bernd Bischl 36 56 0 08 Nov 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 80 323 0 20 Sep 2021
Primer: Searching for Efficient Transformers for Language Modeling David R. So Wojciech Mañke Hanxiao Liu Zihang Dai Noam M. Shazeer Quoc V. Le VLM 83 149 0 17 Sep 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 44 71 0 13 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 126 494 0 28 Dec 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 57 222 0 21 Oct 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 81 576 0 13 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 156 312 0 05 Sep 2019