Quantitative Health Sciences Calendar

University of Massachusetts Boston,

Department of Gerontology and Gerontology Institute.
Donna M. and Robert J. Manning College of Nursing & Health Sciences

&
University of Massachusetts Medical School,
Department of Population and Quantitative Health Sciences

via Zoom: https://umassboston.zoom.us/j/94175483404  Password: Boston
 For more information contact Charles Ruberto: charles.ruberto@umb.edu

Brief Description: Data-centric learning focuses on enhancing algorithmic performance from the perspective of the training data. In contrast to model-centric learning, which designs novel algorithms or optimization techniques for performance improvement with fixed training data, data-centric learning operates with a fixed learning algorithm while modifying the training data through trimming, augmenting, or other methods aligned with improving utility. Data-centric learning holds significant potential in many areas such as model interpretation, subset training set selection, data generation, noisy label detection, active learning, and others. In this talk, I will introduce our recent advances in data-centric learning based on influence functions.

Click here to join or call  1 301 715 8592, Meeting ID: 948 2951 6040 password: 202286

University of Massachusetts Boston,

Department of Gerontology and Gerontology Institute.
Donna M. and Robert J. Manning College of Nursing & Health Sciences

&
University of Massachusetts Medical School,
Department of Population and Quantitative Health Science

via Zoom: https://umassboston.zoom.us/j/94175483404  Password: Boston
 For more information contact Charles Ruberto: charles.ruberto@umb.edu