Mayee Chen
Mayee Chen
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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
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
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
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
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
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
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
Effect of rotational grazing on plant and animal production
M Chen, J Shi
Mathematical Biosciences & Engineering 15 (2), 393-406, 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
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
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
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
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
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
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
Resonant anomaly detection with multiple reference datasets
MF Chen, B Nachman, F Sala
Journal of High Energy Physics 2023 (7), 1-31, 2023
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
Lecture Notes on Weak Supervision
M Chen, F Sala, C Ré
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