2019
A Bi-directional Multiple Timescales LSTM Model for Grounding of Actions and Verbs
IROS 2019poster
In this paper we present a neural architecture to learn a bi-directional mapping between actions and language. We implement a Multiple Timescale Long Short-Term Memory (MT-LSTM) network comprised of 7 layers with different timescale factors, to connect actions to language without explicitly learning…