Mayee F. Chen

According to our database, Mayee F. Chen authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A case for reframing automated medical image classification as segmentation.

Sarah M. Hooper, Mayee F. Chen, Khaled Saab, Kush Bhatia, Curtis P. Langlotz, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification.

Neel Guha, Mayee F. Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Skill-it! A data-driven skills framework for understanding and training language models.

Mayee F. Chen, Nicholas Roberts, Kush Bhatia, Jue Wang, Ce Zhang, Frederic Sala, Christopher Ré

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Ré

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

An Adversarial Model of Network Disruption: Maximizing Disagreement and Polarization in Social Networks.

Mayee F. Chen, Miklós Z. Rácz

IEEE Trans. Netw. Sci. Eng., 2022

Resonant Anomaly Detection with Multiple Reference Datasets.

Mayee F. Chen, Benjamin Nachman, Frederic Sala

CoRR, 2022

Ask Me Anything: A simple strategy for prompting language models.

Simran Arora, Avanika Narayan, Mayee F. Chen, Laurel J. Orr, Neel Guha, Kush Bhatia, Ines Chami, Frederic Sala, Christopher Ré

CoRR, 2022

Shoring up the foundations: fusing model embeddings and weak supervision.

Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity.

Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré

Proceedings of the Machine Learning for Healthcare Conference, 2022

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning.

Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré

Proceedings of the International Conference on Machine Learning, 2022

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval.

Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Mandoline: Model Evaluation under Distribution Shift.

Mayee F. Chen, Karan Goel, Nimit Sharad Sohoni, Fait Poms, Kayvon Fatahalian, Christopher Ré

Proceedings of the 38th International Conference on Machine Learning, 2021

Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation.

Mayee F. Chen, Benjamin Cohen-Wang, Stephen Mussmann, Frederic Sala, Christopher Ré

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings.

Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré

CoRR, 2020

Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods.

Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré

Proceedings of the 37th International Conference on Machine Learning, 2020

2014

Efficient GCD Computation for Big Integers on Xeon Phi Coprocessor.

Jie Chen, William Watson, Mayee F. Chen

Proceedings of the 9th IEEE International Conference on Networking, 2014