Matthew Lyle Olson's Home Page

About Me

I am a 5th year Artificial Intelligence PhD student at Oregon State University. My interests are in Computer Vision, Natural Language Processing, Reinforcement Learning, and Robotics. I am currently working on eXplainable Artificial Intelligence (XAI).

Selected Publications

Jonathan Dodge, Andrew Anderson, Matthew L. Olson, Rupika Dikkala, and Margaret Burnett. How Do People Rank Multiple Mutant Agents? ACM Conference on Intelligent User Interfaces (IUI). 2022. (To Appear)

Matthew L. Olson, Shusen Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Weng-Keen Wong, Peer-timo Bremer. Unsupervised Attribute Alignment for Characterizing Distribution Shift. NeurIPS 2021 Workshop on Distribution Shifts. pdf

Matthew L. Olson, Thuy-Vy Nguyen, Gaurav Dixit, Neale Ratzlaff, Weng-Keen Wong, Minsuk Kahng. Contrastive Identification of Covariate Shift in Image Data. IEEE Visualization Conference (VIS'21), 2021. pdf arxiv video (8 min)

Matthew L. Olson, Roli Khanna, Lawrence Neal, Fuxin Li, Weng-Keen Wong. Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning. Journal of Artificial Intelligence Research, 2021. arxiv

Lawrence Neal, Matthew L. Olson, Weng-Keen Wong, Xiaoli Fern, Fuxin Li. Open Set Learning with Counterfactual Images. Proceedings of the European Conference on Computer Vision (ECCV). 2018. pdf

Additional Publications

Prachi Rahurkar, Matthew L. Olson, Prasad Tadepalli. Human Adversarial QA: Did the Model Understand the Paragraph? NeurIPS 2020 Workshop on Human And Model in the Loop Evaluation and Training Strategies. pdf

Andrew Anderson, Jonathan Dodge, Amrita Sadarangani, Zoe Juozapaitis, Evan New-man, Jed Irvine, Souti Chattopadhyay, Matthew L. Olson, Alan Fern, and Margaret Burnett. Mental models of mere mortals with explanations of reinforcement learning. Transactions on Interactive Intelligent Systems, 2020. pdf

Matthew L. Olson, Lisa Zhang, Chun-Nam Yu. Adapting pretrained language models for long document classification. OpenReview, 2019. pdf

Matthew L. Olson, Lawrence Neal, Fuxin Li, Weng-Keen Wong. Counterfactual States for Atari Agents via Generative Deep Learning. International Joint Conference on Artificial Intelligence workshop on Explainable AI. Macao, China, August 2019. pdf

Arpit Christi, Matthew L. Olson, Mohammad Amin Alipour, and Alex Groce. Reduce Before You Localize: Delta-Debugging and Spectrum-Based Fault Localization IEEE International Workshop on Debugging and Repair. Memphis, Tennessee, October 2018. pdf

GitHub Profile