[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …
deep learning techniques into natural language processing representing significant …
Class based thresholding in early exit semantic segmentation networks
We consider semantic segmentation of images using deep neural networks. To reduce the
computational cost, we incorporate the idea of early exit, where different pixels can be …
computational cost, we incorporate the idea of early exit, where different pixels can be …
Proactive Robot Control for Collaborative Manipulation Using Human Intent
Collaborative manipulation task often requires negotiation using explicit or implicit
communication. An important example is determining where to move when the goal …
communication. An important example is determining where to move when the goal …
[PDF][PDF] Efficient Neural Network Inference and Training Using Early Exit Strategies
A GÖRMEZ - 2024 - alperengormez.github.io
Deep learning is advancing rapidly with the constant development of new, state-of-the-art
models. The performance increase in the models are often attributed to increase in their size …
models. The performance increase in the models are often attributed to increase in their size …
[PDF][PDF] Channel Islands
MHR Collaboration - 2024 - scholarworks.calstate.edu
Abstract Effective Human-Robot Collaboration (HRC) requires understand ing from the robot
with respect to humans by generating dialog and/or physical action. This research …
with respect to humans by generating dialog and/or physical action. This research …
[PDF][PDF] Natural Language Processing Journal
N Ahmed, AK Saha, MA Al Noman, JR Jim, MF Mridha… - researchgate.net
ABSTRACT Human–Agent Interaction is at the forefront of rapid development, with
integrating deep learning techniques into natural language processing representing …
integrating deep learning techniques into natural language processing representing …