| Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar arXiv preprint arXiv:1909.05830, 2019 | 124 | 2019 |
| Interpretable machine learning: Moving from mythos to diagnostics V Chen, J Li, JS Kim, G Plumb, A Talwalkar Communications of the ACM 65 (8), 43-50, 2022 | 46 | 2022 |
| A learning theoretic perspective on local explainability J Li, V Nagarajan, G Plumb, A Talwalkar arXiv preprint arXiv:2011.01205, 2020 | 16 | 2020 |
| Towards connecting use cases and methods in interpretable machine learning V Chen, J Li, JS Kim, G Plumb, A Talwalkar arXiv preprint arXiv:2103.06254 20, 36, 2021 | 8 | 2021 |
| Characterizing the Impacts of Semi-supervised Learning for Weak Supervision J Li, J Zhang, L Schmidt, AJ Ratner Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Ameet TalwalkarCMUכתובת אימייל מאומתת בדומיין cmu.edu
