GaSPing for utility
Mengyang Gu, Debarun Bhattacharjya, et al.
AAAI 2020
Existing datasets available to address crucial prob- lems, such as child mortality and family plan- ning discontinuation in developing countries, are not ample for data-driven approaches. This is partly due to disjoint data collection efforts em- ployed across locations, times, and variations of modalities. On the other hand, state-of-the-art methods for small data problem are confined to image modalities. In this work, we proposed a data-level linkage of disjoint surveys across Sub- Saharan African countries to improve prediction performance of neonatal death and provide cross- domain explainability.
Mengyang Gu, Debarun Bhattacharjya, et al.
AAAI 2020
Matthew Arnold, Jeffrey Boston, et al.
MLSys 2020
Kaizhi Qian, Yang Zhang, et al.
ICML 2020
Akhilan Boopathy, Sijia Liu, et al.
ICML 2020