| 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 | 4661 | 2021 |
| Personalized federated learning with first order model optimization M Zhang, K Sapra, S Fidler, S Yeung, JM Alvarez arXiv preprint arXiv:2012.08565, 2020 | 361 | 2020 |
| 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 | 136 | 2022 |
| 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 | 69 | 2023 |
| 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 | 68 | 2022 |
| Contrastive adapters for foundation model group robustness M Zhang, C Ré Advances in Neural Information Processing Systems 35, 21682-21697, 2022 | 58 | 2022 |
| 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 | 57 | 2023 |
| 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 | 51 | 2022 |
| 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 | 48 | 2023 |
| Selectively answering ambiguous questions JR Cole, MJQ Zhang, D Gillick, JM Eisenschlos, B Dhingra, J Eisenstein arXiv preprint arXiv:2305.14613, 2023 | 42 | 2023 |
| The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry M Zhang, K Bhatia, H Kumbong, C Ré arXiv preprint arXiv:2402.04347, 2024 | 35 | 2024 |
| 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 | 30 | 2020 |
| 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 | 29 | 2022 |
| 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 | 26 | 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, 357-367, 2022 | 22 | 2022 |
| Clarify when necessary: Resolving ambiguity through interaction with lms MJQ Zhang, E Choi arXiv preprint arXiv:2311.09469, 2023 | 12 | 2023 |
| 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 | 11 | 2021 |
| Mitigating temporal misalignment by discarding outdated facts MJQ Zhang, E Choi arXiv preprint arXiv:2305.14824, 2023 | 10 | 2023 |
| 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 | 10 | 2022 |
| 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 | 6 | 2022 |
Serena Yeung-LevyStanford UniversityVerified email at stanford.edu