354 citations · 434 across the 15 of their papers we have counts for
3 papers · 1 filter
Generalized Reinforcement Meta Learning for Few-Shot Optimization
Raviteja Anantha, Stephen Pulman, Srinivas Chappidi
We present a generic and flexible Reinforcement Learning (RL) based meta-learning framework for the problem of few-shot learning. During training, it learns the best optimization a…
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Deepak Muralidharan, Justine Kao, Xiao Yang +8
Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands. However, components in thes…
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant
Xi C. Chen, Adithya Sagar, Justine T. Kao +5
We describe a method for selecting relevant new training data for the LSTM-based domain selection component of our personal assistant system. Adding more annotated training data fo…