A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes

1 code implementation • 15 Sep 2020 • Yuxin Ma, Arlen Fan, Jingrui He, Arun Reddy Nelakurthi, Ross Maciejewski

Transfer Learning is intended to relax this assumption by modeling relationships between domains, and is often applied in deep learning applications to reduce the demand for labeled data and training time.

Descriptive Image Classification +1

Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners

1 code implementation • 17 Apr 2018 • Yao Zhou, Arun Reddy Nelakurthi, Jingrui He

With the increasing demand for large amount of labeled data, crowdsourcing has been used in many large-scale data mining applications.