Thomas Yong-Jin Han
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
3
Venues
3
Active years
2019–2021
Best venue rank
A*
Where they publish
Papers
3 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | UAI | Deep kernels with probabilistic embeddings for small-data learning. | Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura, Gauri Joshi, Thomas Yong-Jin Han |
| 2020 | ICML | Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. | Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han |
| 2019 | ICDAR | Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. | Huichen Yang, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis |