Although remote working is increasingly adopted during the pandemic, man...
Learning-based video compression is currently one of the most popular
re...
We study continually improving an extractive question answering (QA) sys...
Apprenticeship learning (AL) is a process of inducing effective
decision...
Many of us researchers take extra measures to control for known-unknowns...
Reinforcement learning (RL) has been extensively researched for enhancin...
Model-based methods have recently shown great potential for off-policy
e...
Interoperability issue is a significant problem in Building Information
...
Global teams frequently consist of language-based subgroups who put toge...
Information seeking is crucial for people's self-care and wellbeing in t...
We explore Calico, a miniature relocatable wearable system with fast and...
We study learning from user feedback for extractive question answering b...
Real-world Electronic Health Records (EHRs) are often plagued by a high ...
It is often desired to train 6D pose estimation systems on synthetic dat...
Instructors have limited time and resources to help struggling students,...
This paper addresses the task of estimating the 6 degrees of freedom pos...
The recent development of data-driven AI promises to automate medical
di...
Model View Definition (MVD) is the standard methodology to define the
ex...
Model View Definition (MVD) is the standard methodology to define the pa...
The adoption of intelligent systems creates opportunities as well as
cha...
We present an attention based visual analysis framework to compute
grasp...
We present end-to-end neural models for detecting metaphorical word use ...
Rotation estimation of known rigid objects is important for robotic
appl...