| Ask me anything: A simple strategy for prompting language models S Arora, A Narayan, MF Chen, LJ Orr, N Guha, K Bhatia, I Chami, F Sala, ... International Conference on Learning Representations, 2023., 2022 | 170 | 2022 |
| Fast and three-rious: Speeding up weak supervision with triplet methods D Fu, M Chen, F Sala, S Hooper, K Fatahalian, C Ré International conference on machine learning, 3280-3291, 2020 | 124 | 2020 |
| Mandoline: Model evaluation under distribution shift M Chen, K Goel, NS Sohoni, F Poms, K Fatahalian, C Ré International conference on machine learning, 1617-1629, 2021 | 70 | 2021 |
| Perfectly balanced: Improving transfer and robustness of supervised contrastive learning M Chen, DY Fu, A Narayan, M Zhang, Z Song, K Fatahalian, C Ré International Conference on Machine Learning, 3090-3122, 2022 | 42 | 2022 |
| An adversarial model of network disruption: Maximizing disagreement and polarization in social networks MF Chen, MZ Rácz IEEE Transactions on Network Science and Engineering 9 (2), 728-739, 2021 | 28* | 2021 |
| Skill-it! a data-driven skills framework for understanding and training language models M Chen, N Roberts, K Bhatia, J Wang, C Zhang, F Sala, C Ré Advances in Neural Information Processing Systems 36, 2024 | 25 | 2024 |
| Shoring up the foundations: Fusing model embeddings and weak supervision MF Chen, DY Fu, D Adila, M Zhang, F Sala, K Fatahalian, C Ré Uncertainty in Artificial Intelligence, 2022., 2022 | 20 | 2022 |
| Effect of rotational grazing on plant and animal production M Chen, J Shi Mathematical Biosciences & Engineering 15 (2), 393-406, 2017 | 18 | 2017 |
| Comparing the value of labeled and unlabeled data in method-of-moments latent variable estimation M Chen, B Cohen-Wang, S Mussmann, F Sala, C Ré International Conference on Artificial Intelligence and Statistics, 3286-3294, 2021 | 17 | 2021 |
| Tabi: Type-aware bi-encoders for open-domain entity retrieval M Leszczynski, DY Fu, MF Chen, C Ré Findings of the Association of Computational Linguistics, 2022., 2022 | 10 | 2022 |
| Reducing reliance on spurious features in medical image classification with spatial specificity K Saab, S Hooper, M Chen, M Zhang, D Rubin, C Re Machine Learning for Healthcare Conference, 760-784, 2022 | 7 | 2022 |
| Train and you'll miss it: Interactive model iteration with weak supervision and pre-trained embeddings MF Chen, DY Fu, F Sala, S Wu, RT Mullapudi, F Poms, K Fatahalian, ... arXiv preprint arXiv:2006.15168, 2020 | 5 | 2020 |
| Efficient gcd computation for big integers on xeon phi coprocessor J Chen, W Watson, MF Chen 2014 9th IEEE International Conference on Networking, Architecture, and …, 2014 | 5 | 2014 |
| Resonant anomaly detection with multiple reference datasets MF Chen, B Nachman, F Sala Journal of High Energy Physics 2023 (7), 1-31, 2023 | 4 | 2023 |
| The details matter: Preventing class collapse in supervised contrastive learning DY Fu, MF Chen, M Zhang, K Fatahalian, C Ré Computer Sciences & Mathematics Forum 3 (1), 4, 2022 | 4 | 2022 |
| Embroid: Unsupervised prediction smoothing can improve few-shot classification N Guha, M Chen, K Bhatia, A Mirhoseini, F Sala, C Ré Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| A case for reframing automated medical image classification as segmentation S Hooper, M Chen, K Saab, K Bhatia, C Langlotz, C Ré Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Lecture Notes on Weak Supervision M Chen, F Sala, C Ré | | 2019 |
