no code implementations • 3 Feb 2018 • Himani Arora, Rajath Kumar, Jason Krone, Chong Li
In addition, most reinforcement learning research on multi-task learning has been focused on discrete action spaces, which are not used for robotic control in the real-world.
no code implementations • 29 Sep 2021 • Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, GengShen Fu, Brian Kulis, Santosh Kumar Cheekatmalla
In this work, we propose Tiny-CRNN (Tiny Convolutional Recurrent Neural Network) models applied to the problem of wakeword detection, and augment them with scaled dot product attention.
no code implementations • 25 Nov 2020 • Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, GengShen Fu, Brian Kulis, Santosh Kumar Cheekatmalla
In this work, we propose small footprint Convolutional Recurrent Neural Network models applied to the problem of wakeword detection and augment them with scaled dot product attention.