no code implementations • 9 Jul 2023 • Somin Park, Xi Wang, Carol C. Menassa, Vineet R. Kamat, Joyce Y. Chai
When introducing HRC in construction, it is critical to recognize the importance of teamwork and supervision in field construction and establish a natural and intuitive communication system for the human workers and robotic assistants.
no code implementations • ACL (MetaNLP) 2021 • Guangyue Xu, Parisa Kordjamshidi, Joyce Y. Chai
In this paper, we study the problem of recognizing compositional attribute-object concepts within the zero-shot learning (ZSL) framework.
no code implementations • 15 Sep 2019 • Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations.
Action Recognition
Explainable Artificial Intelligence (XAI)
+2
1 code implementation • 2 Apr 2019 • Shane Storks, Qiaozi Gao, Joyce Y. Chai
In the NLP community, recent years have seen a surge of research activities that address machines' ability to perform deep language understanding which goes beyond what is explicitly stated in text, rather relying on reasoning and knowledge of the world.
no code implementations • 13 Mar 2019 • Arjun R. Akula, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu
This paper presents an explainable AI (XAI) system that provides explanations for its predictions.
no code implementations • 7 Oct 2017 • Qiaozi Gao, Lanbo She, Joyce Y. Chai
One significant simplification in most previous work on robot learning is the closed-world assumption where the robot is assumed to know ahead of time a complete set of predicates describing the state of the physical world.
no code implementations • 16 Jan 2014 • Shaolin Qu, Joyce Y. Chai
To address these issues, we developed new approaches that incorporate user language behavior, domain knowledge, and conversation context in word acquisition.