Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 3181 | 2023 |
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks S Nikolaidis, R Ramakrishnan, K Gu, J Shah Proceedings of the tenth annual ACM/IEEE international conference on human …, 2015 | 289 | 2015 |
Gpt-4o system card A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ... arXiv preprint arXiv:2410.21276, 2024 | 208 | 2024 |
System and methods for dynamic digital threat mitigation F Sadaghiani, M Wylde, K Gu, E Ho, N Grant US Patent 9,954,879, 2018 | 107 | 2018 |
Openai o1 system card A Jaech, A Kalai, A Lerer, A Richardson, A El-Kishky, A Low, A Helyar, ... arXiv preprint arXiv:2412.16720, 2024 | 68 | 2024 |
Using videos to evaluate image model robustness K Gu, B Yang, J Ngiam, Q Le, J Shlens arXiv preprint arXiv:1904.10076, 2019 | 47 | 2019 |
System and methods for dynamic digital threat mitigation F Sadaghiani, A Paino, J Burnim, K Gu, G Lee, N Grant, E Ho, ... US Patent 9,978,067, 2018 | 33 | 2018 |
An instance-dependent simulation framework for learning with label noise K Gu, X Masotto, V Bachani, B Lakshminarayanan, J Nikodem, D Yin Machine Learning 112 (6), 1871-1896, 2023 | 26 | 2023 |
Meta-learning biologically plausible semi-supervised update rules K Gu, S Greydanus, L Metz, N Maheswaranathan, J Sohl-Dickstein bioRxiv, 2019.12. 30.891184, 2019 | 18 | 2019 |
Efficient model learning from joint-action demonstrations for human-robot collaborative tasks. In 2015 10th ACM S Nikolaidis, R Ramakrishnan, K Gu, J Shah IEEE International Conference on Human-Robot Interaction (HRI), 189-196, 0 | 14 | |
System and methods for digital account threat detection F Sadaghiani, K Gu, A Paino, J Burnim, T Schiavone US Patent 10,482,395, 2019 | 11 | 2019 |
Systems and methods detecting and mitigating anomalous shifts in a machine learning model F Sadaghiani, K Gu, V Dadok, A Paino, J Burnim US Patent 10,341,374, 2019 | 9 | 2019 |
First-person fairness in chatbots T Eloundou, A Beutel, DG Robinson, K Gu-Lemberg, AL Brakman, ... arXiv preprint arXiv:2410.19803, 2024 | 5 | 2024 |
Systems and methods detecting and mitigating anomalous shifts in a machine learning model F Sadaghiani, K Gu, V Dadok, A Paino, J Burnim US Patent 10,462,172, 2019 | 5 | 2019 |
System and methods for dynamic digital threat mitigation F Sadaghiani, A Paino, J Burnim, K Gu, G Lee, N Grant, E Ho, ... US Patent 10,402,828, 2019 | 5 | 2019 |
System and methods for dynamic digital threat mitigation F Sadaghiani, A Paino, J Burnim, K Gu, G Lee, N Grant, E Ho, ... US Patent 10,108,962, 2018 | 5 | 2018 |
A realistic simulation framework for learning with label noise K Gu, X Masotto, V Bachani, B Lakshminarayanan, J Nikodem, D Yin | 4 | 2021 |
System and methods for dynamic digital threat mitigation F Sadaghiani, M Wylde, K Gu, E Ho, N Grant US Patent 10,643,216, 2020 | 4 | 2020 |
Efficient Model Learning for Human-Robot Collaborative Tasks. arXiv S Nikolaidis, K Gu, R Ramakrishnan, J Shah May, 2014 | 3 | 2014 |
Enabling supportive communications in decentralized multi-agent teams K Gu Massachusetts Institute of Technology, 2015 | | 2015 |