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Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI


Jun 22, 2022
Q. Vera Liao, Yunfeng Zhang, Ronny Luss, Finale Doshi-Velez, Amit Dhurandhar

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* draft 

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De-biasing "bias" measurement


May 11, 2022
Kristian Lum, Yunfeng Zhang, Amanda Bower

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* 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22), June 21--24, 2022, Seoul, Republic of Korea 

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Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation


Apr 25, 2022
Vivian Lai, Samuel Carton, Rajat Bhatnagar, Q. Vera Liao, Yunfeng Zhang, Chenhao Tan

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* 18 pages, 44 figures 

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AI Explainability 360: Impact and Design


Sep 24, 2021
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang

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* arXiv admin note: text overlap with arXiv:1909.03012 

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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI


Jun 04, 2021
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

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* Added references 

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D2S: Document-to-Slide Generation Via Query-Based Text Summarization


May 08, 2021
Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy X. R. Wang

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* accepted at NAACL 2021 

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


Apr 09, 2021
Shweta Narkar, Yunfeng Zhang, Q. Vera Liao, Dakuo Wang, Justin D Weisz

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Enhancing the Generalization Performance and Speed Up Training for DRL-based Mapless Navigation


Mar 22, 2021
Wei Zhang, Yunfeng Zhang, Ning Liu

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How Much Automation Does a Data Scientist Want?


Jan 07, 2021
Dakuo Wang, Q. Vera Liao, Yunfeng Zhang, Udayan Khurana, Horst Samulowitz, Soya Park, Michael Muller, Lisa Amini

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