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NEWS | March 31, 2023

LwLL: Learning with Less Labeling

Project Lead:  Dr. Bruce Draper                                                            

Sponsoring Organization:  DARPA


Project Synopsis:  LwLL aims to make 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. In order to achieve the massive reductions of labeled data needed to train accurate models, LwLL will focus on two technical objectives: developing learning algorithms that learn and adapt efficiently; and formally characterizing machine learning problems and proving the limits of learning and adaptation.