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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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Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty


Nov 15, 2020
Umang Bhatt, Yunfeng Zhang, Javier Antor├ín, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melan├žon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Adrian Weller, Alice Xiang

* 19 pages, 6 figures 

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Learn to Navigate Maplessly with Varied LiDAR Configurations: A Support Point Based Approach


Oct 20, 2020
Wei Zhang, Ning Liu, Yunfeng Zhang

* 8 pages, 10 figures. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making


Oct 15, 2020
Charvi Rastogi, Yunfeng Zhang, Dennis Wei, Kush R. Varshney, Amit Dhurandhar, Richard Tomsett

* 15 pages, 5 figures 

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Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation


Sep 06, 2020
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller

* Accepted at Workshop on Data Science with Human in the Loop (DaSH) @ ACM SIGKDD 2020 

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Measuring Social Biases of Crowd Workers using Counterfactual Queries


Apr 04, 2020
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller

* Accepted at the Workshop on Fair and Responsible AI at ACM CHI 2020 

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Model Agnostic Multilevel Explanations


Mar 12, 2020
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar

* 21 pages, 9 figures, 1 table 

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Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions


Feb 15, 2020
Wei Zhang, Yunfeng Zhang, Ning Liu

* 8 pages, 14 figures 

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Joint Optimization of AI Fairness and Utility: A Human-Centered Approach


Feb 05, 2020
Yunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney

* To appear in AIES 2020 proceedings 

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Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience


Jan 31, 2020
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Rachel Bellamy, Klaus Mueller

* working draft 

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Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness


Jan 13, 2020
Michael Hind, Dennis Wei, Yunfeng Zhang


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Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making


Jan 07, 2020
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy


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One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques


Sep 14, 2019
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovi─ç, 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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Bootstrapping Conversational Agents With Weak Supervision


Dec 14, 2018
Neil Mallinar, Abhishek Shah, Rajendra Ugrani, Ayush Gupta, Manikandan Gurusankar, Tin Kam Ho, Q. Vera Liao, Yunfeng Zhang, Rachel K. E. Bellamy, Robert Yates, Chris Desmarais, Blake McGregor

* 6 pages, 3 figures, 1 table, Accepted for publication in IAAI 2019 

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Joint association and classification analysis of multi-view data


Nov 20, 2018
Yunfeng Zhang, Irina Gaynanova


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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias


Oct 03, 2018
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

* 20 pages 

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Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation


Sep 11, 2018
Wei Zhang, Yunfeng Zhang, Ning Liu

* 8 pages, 12 figures 

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