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Michael Zhang
Michael Zhang
CS PhD Student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
25792021
Personalized federated learning with first order model optimization
M Zhang, K Sapra, S Fidler, S Yeung, JM Alvarez
arXiv preprint arXiv:2012.08565, 2020
2372020
Correct-n-contrast: A contrastive approach for improving robustness to spurious correlations
M Zhang, NS Sohoni, HR Zhang, C Finn, C Ré
arXiv preprint arXiv:2203.01517, 2022
1012022
Can lms learn new entities from descriptions? challenges in propagating injected knowledge
Y Onoe, MJQ Zhang, S Padmanabhan, G Durrett, E Choi
arXiv preprint arXiv:2305.01651, 2023
352023
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
342022
Rich knowledge sources bring complex knowledge conflicts: Recalibrating models to reflect conflicting evidence
HT Chen, MJQ Zhang, E Choi
arXiv preprint arXiv:2210.13701, 2022
282022
Simple hardware-efficient long convolutions for sequence modeling
DY Fu, EL Epstein, E Nguyen, AW Thomas, M Zhang, T Dao, A Rudra, ...
International Conference on Machine Learning, 10373-10391, 2023
272023
Contrastive adapters for foundation model group robustness
M Zhang, C Ré
Advances in Neural Information Processing Systems 35, 21682-21697, 2022
262022
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery
M Zhang, X Cheng, D Copeland, A Desai, MY Guan, GA Brat, S Yeung
AMIA 2020 Virtual Symposium, 2020
242020
Effectively modeling time series with simple discrete state spaces
M Zhang, KK Saab, M Poli, T Dao, K Goel, C Ré
arXiv preprint arXiv:2303.09489, 2023
202023
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, 357-367, 2022
172022
Selectively answering ambiguous questions
JR Cole, MJQ Zhang, D Gillick, JM Eisenschlos, B Dhingra, J Eisenstein
arXiv preprint arXiv:2305.14613, 2023
152023
Triangle and four cycle counting with predictions in graph streams
JY Chen, T Eden, P Indyk, H Lin, S Narayanan, R Rubinfeld, S Silwal, ...
arXiv preprint arXiv:2203.09572, 2022
152022
Soft multicopter control using neural dynamics identification
Y Deng, Y Zhang, X He, S Yang, Y Tong, M Zhang, D DiPietro, B Zhu
Conference on Robot Learning, 1773-1782, 2021
82021
Propagating knowledge updates to lms through distillation
S Padmanabhan, Y Onoe, M Zhang, G Durrett, E Choi
Advances in Neural Information Processing Systems 36, 2024
62024
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
62022
Mitigating temporal misalignment by discarding outdated facts
MJQ Zhang, E Choi
arXiv preprint arXiv:2305.14824, 2023
42023
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
42022
DiffQG: Generating questions to summarize factual changes
JR Cole, P Jain, JM Eisenschlos, MJQ Zhang, E Choi, B Dhingra
arXiv preprint arXiv:2303.00242, 2023
22023
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs
MJQ Zhang, E Choi
arXiv preprint arXiv:2311.09469, 2023
12023
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