Kin-Ho Lam

According to our database, Kin-Ho Lam authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Grape Cold Hardiness Prediction via Multi-Task Learning.

Aseem Saxena, Paola Pesantez-Cabrera, Rohan Ballapragada, Kin-Ho Lam, Markus Keller, Alan Fern

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Finding AI's Faults with AAR/AI: An Empirical Study.

Roli Khanna, Jonathan Dodge, Andrew Anderson, Rupika Dikkala, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Caleb R. Matthews, Zhengxian Lin, Minsuk Kahng, Alan Fern, Margaret Burnett

ACM Trans. Interact. Intell. Syst., 2022

Beyond Value: CheckList for Testing Inferences in Planning-Based RL.

Kin-Ho Lam, Delyar Tabatabai, Jed Irvine, Donald Bertucci, Anita Ruangrotsakun, Minsuk Kahng, Alan Fern

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

After-Action Review for AI (AAR/AI).

Jonathan Dodge, Roli Khanna, Jed Irvine, Kin-Ho Lam, Theresa Mai, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Andrew Anderson, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern

ACM Trans. Interact. Intell. Syst., 2021

Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations.

Kin-Ho Lam, Zhengxian Lin, Jed Irvine, Jonathan Dodge, Zeyad T. Shureih, Roli Khanna, Minsuk Kahng, Alan Fern

CoRR, 2021

"Why did my AI agent lose?": Visual Analytics for Scaling Up After-Action Review.

Delyar Tabatabai, Anita Ruangrotsakun, Jed Irvine, Jonathan Dodge, Zeyad Shureih, Kin-Ho Lam, Margaret Burnett, Alan Fern, Minsuk Kahng

Proceedings of the 2021 IEEE Visualization Conference, 2021

Doing Remote Controlled Studies with Humans: Tales from the COVID Trenches.

Rupika Dikkala, Roli Khanna, Caleb R. Matthews, Jonathan Dodge, Sai Raja, Catherine Hu, Jed Irvine, Zeyad Shureih, Kin-Ho Lam, Andrew Anderson, Minsuk Kahng, Alan Fern, Margaret Burnett

Proceedings of the 14th IEEE/ACM International Workshop on Cooperative and Human Aspects of Software Engineering, 2021

Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions.

Zhengxian Lin, Kin-Ho Lam, Alan Fern

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Keeping it "organized and logical": after-action review for AI (AAR/AI).

Theresa Mai, Roli Khanna, Jonathan Dodge, Jed Irvine, Kin-Ho Lam, Zhengxian Lin, Nicholas Kiddle, Evan Newman, Sai Raja, Caleb R. Matthews, Christopher Perdriau, Margaret Burnett, Alan Fern

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020