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 | 517 | 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 | 80 | 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 | 55 | 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 | 14 | 2023 |
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 | 11 | 2022 |
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 | 6 | 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 |
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 | 5 | 2024 |
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 | 4 | 2024 |
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 |
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 |
Why do LLaVA Vision-Language Models Reply to Images in English? M Hinck, C Holtermann, ML Olson, F Schneider, S Yu, A Bhiwandiwalla, ... arXiv preprint arXiv:2407.02333, 2024 | | 2024 |
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 Machine Learning: Science and Technology 5 (2), 025054, 2024 | | 2024 |
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 | | 2024 |
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 |