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 | 69 | 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 | 20 | 2021 |
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 | 12* | 2021 |
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, ... arXiv preprint arXiv:2210.02441, 2022 | 10 | 2022 |
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 | 9 | 2022 |
Effect of rotational grazing on plant and animal production M Chen, J Shi Mathematical Biosciences & Engineering 15 (2), 393, 2018 | 9 | 2018 |
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 (UAI) 2022, 2022 | 8 | 2022 |
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 | 8 | 2021 |
TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval M Leszczynski, DY Fu, MF Chen, C Ré arXiv preprint arXiv:2204.08173, 2022 | 6 | 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 |
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 | 1 | 2022 |
Resonant Anomaly Detection with Multiple Reference Datasets MF Chen, B Nachman, F Sala arXiv preprint arXiv:2212.10579, 2022 | | 2022 |
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity K Saab, S Hooper, M Chen, M Zhang, D Rubin, C Ré | | 2022 |
Lecture Notes on Weak Supervision M Chen, F Sala, C Ré | | 2019 |