| Open set learning with counterfactual images L Neal, M Olson, X Fern, WK Wong, F Li Proceedings of the European conference on computer vision (ECCV), 613-628, 2018 | 448 | 2018 |
| Counterfactual state explanations for reinforcement learning agents via generative deep learning ML Olson, R Khanna, L Neal, F Li, WK Wong Artificial Intelligence 295, 103455, 2021 | 64 | 2021 |
| Mental models of mere mortals with explanations of reinforcement learning A Anderson, J Dodge, A Sadarangani, Z Juozapaitis, E Newman, J Irvine, ... ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (2), 1-37, 2020 | 48 | 2020 |
| Counterfactual states for atari agents via generative deep learning ML Olson, L Neal, F Li, WK Wong arXiv preprint arXiv:1909.12969, 2019 | 36 | 2019 |
| Reduce before you localize: Delta-debugging and spectrum-based fault localization A Christi, ML Olson, MA Alipour, A Groce 2018 IEEE International Symposium on Software Reliability Engineering …, 2018 | 28 | 2018 |
| Contrastive identification of covariate shift in image data ML Olson, TV Nguyen, G Dixit, N Ratzlaff, WK Wong, M Kahng 2021 IEEE Visualization Conference (VIS), 36-40, 2021 | 12 | 2021 |
| Ganterfactual-rl: Understanding reinforcement learning agents' strategies through visual counterfactual explanations T Huber, M Demmler, S Mertes, ML Olson, E André arXiv preprint arXiv:2302.12689, 2023 | 7 | 2023 |
| How do people rank multiple mutant agents? J Dodge, AA Anderson, M Olson, R Dikkala, M Burnett 27th International Conference on Intelligent User Interfaces, 191-211, 2022 | 6 | 2022 |
| Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models ML Olson, S Liu, R Anirudh, JJ Thiagarajan, PT Bremer, WK Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Unsupervised attribute alignment for characterizing distribution shift ML Olson, S Liu, R Anirudh, JJ Thiagarajan, WK Wong, PT Bremer NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021 | 3 | 2021 |
| Adapting pretrained language models for long document classification ML Olson, L Zhang, CN Yu | 2 | 2019 |
| LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models GBM Stan, RY Rohekar, Y Gurwicz, ML Olson, A Bhiwandiwalla, E Aflalo, ... arXiv preprint arXiv:2404.03118, 2024 | | 2024 |
| LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models G Ben Melech Stan, R Yehezkel Rohekar, Y Gurwicz, ML Olson, ... arXiv e-prints, arXiv: 2404.03118, 2024 | | 2024 |
| LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model M Hinck, ML Olson, D Cobbley, SY Tseng, V Lal arXiv preprint arXiv:2404.01331, 2024 | | 2024 |
| AVA: Towards Autonomous Visualization Agents through Visual Perception-Driven Decision-Making S Liu, H Miao, Z Li, M Olson, V Pascucci, PT Bremer arXiv preprint arXiv:2312.04494, 2023 | | 2023 |
| Transformer-Powered Surrogates Close the ICF Simulation-Experiment Gap with Extremely Limited Data ML Olson, S Liu, JJ Thiagarajan, B Kustowski, WK Wong, R Anirudh arXiv preprint arXiv:2312.03642, 2023 | | 2023 |
| Synthetic Singleplex-Image Generation in Multiplex-Brightfield Immunohistochemistry Digital Pathology Using Deep Generative Models A Lorsakul, J Martin, T Landowski, E Walker, M Flores, J Clements, ... International Workshop on Simulation and Synthesis in Medical Imaging, 107-117, 2023 | | 2023 |
| Characterizing and Addressing Dataset Shift with Deep Learning ML Olson | | 2023 |
| Deep Generative Multimedia Children's Literature ML Olson arXiv preprint arXiv:2209.13129, 2022 | | 2022 |
| Generalizing Cross Entropy Loss with a Beta Proper Composite Loss: An Improved Loss Function for Open Set Recognition ML Olson, N Ratzlaff, WK Wong | | 2021 |
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityVerified email at eecs.oregonstate.edu
