| No subclass left behind: Fine-grained robustness in coarse-grained classification problems N Sohoni, J Dunnmon, G Angus, A Gu, C Ré Advances in Neural Information Processing Systems 33, 19339-19352, 2020 | 204 | 2020 |
| Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT S Eyuboglu, G Angus, BN Patel, A Pareek, G Davidzon, J Long, ... Nature communications 12 (1), 1880, 2021 | 35 | 2021 |
| Via: Illuminating academic pathways at scale G Angus, RD Martinez, ML Stevens, A Paepcke Proceedings of the Sixth (2019) ACM Conference on Learning@ Scale, 1-10, 2019 | 8 | 2019 |
| Via: Illuminating Undergraduate Academic Pathways at Scale G Angus, RD Martinez, M Stevens, A Paepcke Stanford InfoLab, 2019 | 1 | 2019 |
| Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods R Diehl Martinez, G Angus, R Mahdavian arXiv e-prints, arXiv: 1807.00692, 2018 | 1* | 2018 |
| LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report J Zhao, T Wang, W Abid, G Angus, A Garg, J Kinnison, A Sherstinsky, ... arXiv preprint arXiv:2405.00732, 2024 | | 2024 |
| Abnormality Detection in Carotid Ultrasounds with Convolutional Networks ES Eyuboglu, G Angus, P Freeman, B Patel, M Zhou, K Shpanskaya, ... | | |
