Introduction to Active Learning For Regression Tasks With Expected Model Output Changes
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Active Learning For Regression Tasks With Expected Model Output Changes Comprehensive Overview
Active learning In This video covers the basics of
Active Learning
Summary & Highlights for Active Learning For Regression Tasks With Expected Model Output Changes
- Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, Jose M Alvarez;
- Robert Nowak University of Wisconsin-Madison Title: Nonparametric
- In this query framework, we focus to directly minimize the log loss function and the 0/1 loss by calculating the conditional density.
- Our EMNLP presentation for: Michelle Yuan, Hsuan-Tien Lin, and Jordan Boyd-Graber. Cold-start
- Active learning
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