Building socialbots that can have deep, engaging open-domain conversatio...
Speech representations learned in a self-supervised fashion from massive...
Language models have been shown to perform better with an increase in sc...
We consider the problem of multi-agent navigation and collision avoidanc...
We present results from a large-scale experiment on pretraining encoders...
In transportation networks, users typically choose routes in a decentral...
Unmanned aerial vehicles (UAVs), or drones, are increasingly being used ...
Data-driven methodologies offer many exciting upsides, but they also
int...
Congestion pricing has long been hailed as a means to mitigate traffic
c...
Inspired by recent work in meta-learning and generative teaching network...
This paper studies the problem of allocating tasks from different custom...
This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
Large end-to-end neural open-domain chatbots are becoming increasingly
p...
Most prior work on task-oriented dialogue systems are restricted to a li...
Open-domain dialogue systems aim to generate relevant, informative and
e...
LSTM or Long Short Term Memory Networks is a specific type of Recurrent
...
Building open domain conversational systems that allow users to have eng...