Difference between revisions of "CSE 7300 Research Seminar"
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+ | Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056). | ||
+ | https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf | ||
=== ---Oct 02 ---=== | === ---Oct 02 ---=== |
Revision as of 23:11, 23 September 2024
- Theme: AI for Health
- Instructor: Prof. Chenyang Lu
- Semester: Fall 2024
- Time: Wednesday at 1 PM
- Location: McKelvey 1030
- Guidelines:
- Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), NEJM AI ([10])
Presentation Schedule
---Sep 11 ---
Ziqi
Gawlikowski, J., Tassi, C.R.N., Ali, M. et al. A survey of uncertainty in deep neural networks. Artif Intell Rev 56 (Suppl 1), 1513–1589 (2023). [11]
---Sep 18 ---
Daoyi
Hüyük, A., Wei, Q., Curth, A. and van der Schaar, M., 2024. Defining Expertise: Applications to Treatment Effect Estimation. arXiv preprint arXiv:2403.00694. [12]
---Sep 25 ---
Jason
Park, C., Awadalla, A., Kohno, T., & Patel, S. (2021). Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. W. Vaughan (Eds.), Advances in Neural Information Processing Systems (Vol. 34, pp. 3043–3056). https://proceedings.neurips.cc/paper_files/paper/2021/file/17e23e50bedc63b4095e3d8204ce063b-Paper.pdf
---Oct 02 ---
Ben
---Oct 09 ---
Claire
---Oct 16 ---
Wenyu
---Oct 23 ---
Di
---Oct 30 ---
Behrooz
---Nov 06 ---
Prince
---Nov 13 ---
Zichen
---Nov 20 ---
Peiqi
---Nov 27 ---
Thanksgiving
Previous Semesters
- Spring 2024
- Fall 2023
- Spring 2023
- Fall 2022
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