| Automated identification of northern leaf blight-infected maize plants from field imagery using deep learning C DeChant, T Wiesner-Hanks, S Chen, EL Stewart, J Yosinski, MA Gore, ... Phytopathology 107 (11), 1426-1432, 2017 | 392 | 2017 |
| Shape completion enabled robotic grasping J Varley, C DeChant, A Richardson, J Ruales, P Allen 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 327 | 2017 |
| Image set for deep learning: field images of maize annotated with disease symptoms T Wiesner-Hanks, EL Stewart, N Kaczmar, C DeChant, H Wu, RJ Nelson, ... BMC research notes 11 (1), 1-3, 2018 | 138 | 2018 |
| Autonomous detection of plant disease symptoms directly from aerial imagery H Wu, T Wiesner‐Hanks, EL Stewart, C DeChant, N Kaczmar, MA Gore, ... The plant phenome journal 2 (1), 1-9, 2019 | 88 | 2019 |
| Millimeter-level plant disease detection from aerial photographs via deep learning and crowdsourced data T Wiesner-Hanks, H Wu, E Stewart, C DeChant, N Kaczmar, H Lipson, ... Frontiers in Plant Science 10, 1550, 2019 | 87 | 2019 |
| Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning EL Stewart, T Wiesner-Hanks, N Kaczmar, C DeChant, H Wu, H Lipson, ... Remote Sensing 11 (19), 2209, 2019 | 84 | 2019 |
| Toward robots that learn to summarize their actions in natural language: a set of tasks C DeChant, D Bauer Conference on Robot Learning, 1807-1813, 2022 | 8 | 2022 |
| Automated Weed Detection in Aerial Imagery with Context D Bullock, A Mangeni, T Wiesner-Hanks, C DeChant, EL Stewart, ... arXiv preprint arXiv:1910.00652, 2019 | 5 | 2019 |
| Predicting the accuracy of neural networks from final and intermediate layer outputs C DeChant, S Han, H Lipson ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena, 2019 | 4 | 2019 |
| Creating a Tool to Reproducibly Estimate the Ethical Impact of Artificial Intelligence S Jordan, S Fazelpour, A Koshiyama, J Kueper, C DeChant, B Leong, ... | 3 | 2019 |
| Summarizing a virtual robot's past actions in natural language C DeChant, D Bauer arXiv preprint arXiv:2203.06671, 2022 | 2 | 2022 |
| Learning to summarize and answer questions about a virtual robot’s past actions C DeChant, I Akinola, D Bauer Autonomous Robots 47 (8), 1103-1118, 2023 | 1 | 2023 |
| Could AI Drive Transformative Social Progress? What Would This Require? ETA Parson, R Lempert, B Armstrong, E Crothers, C DeChant, N Novelli UCLA School of Law, Public Law Research Paper, 2019 | 1 | 2019 |
| [Blue Sky] Are robots stuck in time? Learning to represent actions in long horizon planning by learning to remember the past C DeChant CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon …, 2022 | | 2022 |
| Do you see what I see? Using questions and answers to align representations of robotic actions C DeChant, I Akinola, D Bauer | | |
| Learning word representations in a developmentally realistic order C DeChant, D Bauer | | |
