Project Grant 2412008

Award Date 9/15/24
Completion Date 8/31/27
Dollars Obligated $600K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Boston, MA 02115, USA
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  1. Develop surrogate models to measure task relationships in multitask learning, enabling selection of optimal task subsets for improved performance.
  2. Examine clustering methods for multitask learning system design objectives to boost overall task performance.
  3. Design efficient fine-tuning methods by utilizing new measurements of the generalization of large neural networks.

The research team will also create a dataset of traffic accident records from multiple states to facilitate road safety research using multitask learning techniques. The project involves integrating graduate and undergraduate students, as well as organizing conferences and symposia to disseminate the research findings.

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