LABEL-EFFICIENT ACTIVE RESILIENT NETWORKS (LEARN)

Abstract

The goal of this program is to the process of training machine learning models more efficient by reducing the amount of labeled data required to build a model by six or more orders of magnitude, and by reducing the amount of data needed to adapt models to new environments to tens to hundreds of labeled examples.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 25, 2019
Source ID
FA87501910504

Entities

People

  • Trevor Darrell

Organizations

  • Defense Advanced Research Projects Agency
  • Rome Laboratory
  • University of California Regents

Tags

Fields of Study

  • Computer science

Readers

  • Electrical Engineering
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks