| 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 | 534 | 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 | 86 | 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 | 57 | 2020 |
| Counterfactual states for atari agents via generative deep learning ML Olson, L Neal, F Li, WK Wong arXiv preprint arXiv:1909.12969, 2019 | 37 | 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 | 33 | 2018 |
| 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 | 15 | 2023 |
| 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 | 13 | 2024 |
| 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 |
| How do people rank multiple mutant agents? J Dodge, AA Anderson, M Olson, R Dikkala, M Burnett Proceedings of the 27th International Conference on Intelligent User …, 2022 | 10 | 2022 |
| AVA: Towards Autonomous Visualization Agents through Visual Perception‐Driven Decision‐Making S Liu, H Miao, Z Li, M Olson, V Pascucci, PT Bremer Computer Graphics Forum 43 (3), e15093, 2024 | 7 | 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 | 7 | 2024 |
| 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 | 6 | 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 G Ben Melech Stan, E Aflalo, RY Rohekar, A Bhiwandiwalla, SY Tseng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering N Ratzlaff, ML Olson, M Hinck, E Aflalo, SY Tseng, V Lal, P Howard arXiv preprint arXiv:2411.12590, 2024 | | 2024 |
| Super-Resolution without High-Resolution Labels for Black Hole Simulations T Helfer, TDP Edwards, J Dafflon, KWK Wong, ML Olson arXiv preprint arXiv:2411.02453, 2024 | | 2024 |
| Harder to mend than to break?—counterfactual explainable artificial intelligence for lifestyle medicine and heart disease prediction H Lane, M Valko, S Rath, MD Walker, ML Olson, S Kramer Journal of Medical Artificial Intelligence, 2024 | | 2024 |
| Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations N Ratzlaff, ML Olson, M Hinck, SY Tseng, V Lal, P Howard arXiv preprint arXiv:2410.13976, 2024 | | 2024 |
| ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution S Yu, BL White, A Bhiwandiwalla, M Hinck, ML Olson, T Nguyen, V Lal arXiv preprint arXiv:2408.15993, 2024 | | 2024 |
Weng-Keen WongProfessor of Computer Science, Oregon State UniversityE-mail megerősítve itt: eecs.oregonstate.edu