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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
S. Narkar
Yunfeng Zhang
Q. V. Liao
Dakuo Wang
Justin D. Weisz
ArXiv (abs)PDFHTML

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

16 / 16 papers shown
Title
Towards Human-centered Design of Explainable Artificial Intelligence
  (XAI): A Survey of Empirical Studies
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies
Shuai Ma
89
1
0
28 Oct 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior
  Across ML Model Compression Experiments
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
81
3
0
06 Aug 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
92
8
0
05 Jun 2024
How Human-Centered Explainable AI Interface Are Designed and Evaluated:
  A Systematic Survey
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey
Thu Nguyen
Alessandro Canossa
Jichen Zhu
62
3
0
21 Mar 2024
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling
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
143
24
0
17 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through
  Artifacts of Data Work
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers
Anamaria Crisan
84
7
0
05 Apr 2023
Deliberating with AI: Improving Decision-Making for the Future through
  Participatory AI Design and Stakeholder Deliberation
Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation
Angie Zhang
Olympia Walker
Kaci Nguyen
Jiajun Dai
Anqing Chen
Min Kyung Lee
73
50
0
22 Feb 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations
AutoML in The Wild: Obstacles, Workarounds, and Expectations
Yuan Sun
Qiurong Song
Xinning Gui
Fenglong Ma
Ting Wang
85
16
0
21 Feb 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI
Selective Explanations: Leveraging Human Input to Align Explainable AI
Vivian Lai
Yiming Zhang
Chacha Chen
Q. V. Liao
Chenhao Tan
102
45
0
23 Jan 2023
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Upol Ehsan
Q. V. Liao
Samir Passi
Mark O. Riedl
Hal Daumé
91
24
0
12 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
87
14
0
17 Oct 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of
  Contextualized Evaluation for Explainable AI
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI
Q. V. Liao
Yunfeng Zhang
Ronny Luss
Finale Doshi-Velez
Amit Dhurandhar
164
83
0
22 Jun 2022
Better Together? An Evaluation of AI-Supported Code Translation
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
75
70
0
15 Feb 2022
IMACS: Image Model Attribution Comparison Summaries
IMACS: Image Model Attribution Comparison Summaries
E. Schoop
Benjamin D. Wedin
A. Kapishnikov
Tolga Bolukbasi
Michael Terry
FAtt
82
1
0
26 Jan 2022
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences
Q. V. Liao
R. Varshney
128
234
0
20 Oct 2021
"Brilliant AI Doctor" in Rural China: Tensions and Challenges in
  AI-Powered CDSS Deployment
"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
98
147
0
04 Jan 2021
1