Socially situated artificial intelligence enables learning from human interaction R Krishna, D Lee, L Fei-Fei, MS Bernstein Proceedings of the National Academy of Sciences 119 (39), e2115730119, 2022 | 40 | 2022 |
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks D Lee, Y Gu, J Hoang, M Marchetti-Bowick NeurIPS Workshop on Machine Learning for Autonomous Driving, 2019 | 40 | 2019 |
Investigation of friction characteristics of a tendon driven wearable robotic hand HK In, D Lee, KJ Cho ICCAS 2010, 568-573, 2010 | 14 | 2010 |
Controlled-rearing studies of newborn chicks and deep neural networks D Lee, P Gujarathi, JN Wood NeurIPS Workshop on Shared Visual Representations in Human and Machine …, 2021 | 10 | 2021 |
A newborn embodied Turing test for view-invariant object recognition D Pak, D Lee, SMW Wood, JN Wood arXiv preprint arXiv:2306.05582, 2023 | 5 | 2023 |
Parallel development of social preferences in fish and machines J McGraw, D Lee, J Wood arXiv preprint arXiv:2305.11137, 2023 | 3 | 2023 |
Modeling Object Recognition in Newborn Chicks using Deep Neural Networks D Lee, D Pak, JN Wood Annual Meeting of the Cognitive Science Society (CogSci), 2021 | 3 | 2021 |
Reverse engineering the origins of visual intelligence. JN Wood, D Lee, B Wood, SMW Wood Annual Meeting of the Cognitive Science Society (CogSci), 2020 | 2 | 2020 |
Engagement Learning: Expanding Visual Knowledge by Engaging Online Participants R Krishna, D Lee, FF Li, M Bernstein Adjunct Proceedings of the 31st Annual ACM Symposium on User Interface …, 2018 | 1 | 2018 |
Development of collective behavior in newborn artificial agents D Lee, SMW Wood, JN Wood arXiv preprint arXiv:2111.03796, 2021 | | 2021 |