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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

* This work will appear in the Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS2022) https://icaps22.icaps-conference.org/papers 

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Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps



Donald Bertucci , Md Montaser Hamid , Yashwanthi Anand , Anita Ruangrotsakun , Delyar Tabatabai , Melissa Perez , Minsuk Kahng


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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


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From Heatmaps to Structural Explanations of Image Classifiers



Li Fuxin , Zhongang Qi , Saeed Khorram , Vivswan Shitole , Prasad Tadepalli , Minsuk Kahng , Alan Fern

* Submitted to Applied AI Letters 

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Contrastive Identification of Covariate Shift in Image Data



Matthew L. Olson , Thuy-Vy Nguyen , Gaurav Dixit , Neale Ratzlaff , Weng-Keen Wong , Minsuk Kahng

* IEEE VIS 2021 

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Structured Attention Graphs for Understanding Deep Image Classifications



Vivswan Shitole , Li Fuxin , Minsuk Kahng , Prasad Tadepalli , Alan Fern

* 26 pages, 25 figures 

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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization



Zijie J. Wang , Robert Turko , Omar Shaikh , Haekyu Park , Nilaksh Das , Fred Hohman , Minsuk Kahng , Duen Horng Chau

* 11 pages, 14 figures. For a demo video, see https://youtu.be/HnWIHWFbuUQ For a live demo, visit https://poloclub.github.io/cnn-explainer/ 

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CNN 101: Interactive Visual Learning for Convolutional Neural Networks



Zijie J. Wang , Robert Turko , Omar Shaikh , Haekyu Park , Nilaksh Das , Fred Hohman , Minsuk Kahng , Duen Horng Chau

* CHI'20 Late-Breaking Work (April 25-30, 2020), 7 pages, 3 figures 

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