[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges

N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …

Class based thresholding in early exit semantic segmentation networks

A Görmez, E Koyuncu - IEEE Signal Processing Letters, 2024 - ieeexplore.ieee.org
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 …

Proactive Robot Control for Collaborative Manipulation Using Human Intent

Z Rysbek, S Li, AM Shervedani… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Collaborative manipulation task often requires negotiation using explicit or implicit
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 …

[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 …

[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 …