Model LineUpper: Supporting Interactive Model Comparison at Multiple
Levels for AutoML

Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML

9 April 2021

Justin D. Weisz

Papers citing "Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML"

9 / 9 papers shown

Title
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments Angie Boggust Venkatesh Sivaraman Yannick Assogba Donghao Ren Dominik Moritz Fred Hohman VLM 63 3 0 06 Aug 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey Thu Nguyen Alessandro Canossa Jichen Zhu 37 3 0 21 Mar 2024
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling Haotian Li Yun Wang Q. V. Liao Huamin Qu 68 23 0 17 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work Jennifer Rogers Anamaria Crisan 43 7 0 05 Apr 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 26 13 0 21 Feb 2023
Better Together? An Evaluation of AI-Supported Code Translation Justin D. Weisz Michael J. Muller Steven I. Ross Fernando Martinez Stephanie Houde Mayank Agarwal Kartik Talamadupula John T. Richards 29 66 0 15 Feb 2022
IMACS: Image Model Attribution Comparison Summaries E. Schoop Benjamin D. Wedin A. Kapishnikov Tolga Bolukbasi Michael Terry FAtt 32 1 0 26 Jan 2022
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in AI-Powered CDSS Deployment Dakuo Wang Liuping Wang Zhan Zhang Ding Wang Haiyi Zhu Yvonne Gao Xiangmin Fan Feng Tian 51 144 0 04 Jan 2021
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 180 312 0 05 Sep 2019