Despite successes across a broad range of applications, sequence-to-sequ...
Recent studies have shown that sequence-to-sequence (Seq2Seq) models are...
Simultaneous machine translation, which aims at a real-time translation,...
Accurate prediction of network-wide traffic conditions is essential for
...
Recently, in order to address the unsupervised domain adaptation (UDA)
p...
It is expensive to evaluate the results of Machine Translation(MT), whic...
There are a large number of optimization problems in physical models whe...
We consider the topic of data imputation, a foundational task in machine...
With billions of personal images being generated from social media and
c...
Myotonia, which refers to delayed muscle relaxation after contraction, i...
Recommendation systems that automatically generate personalized music
pl...
With one billion monthly viewers, and millions of users discussing and
s...
Connected vehicles (CVs) can capture and transmit detailed data such as
...
Bike sharing is a vital component of a modern multi-modal transportation...
Connected vehicles (CVs) can capture and transmit detailed data like veh...
Bike sharing is a vital piece in a modern multi-modal transportation sys...
Short-term traffic volume prediction models have been extensively studie...
Border crossing delays between New York State and Southern Ontario cause...
Border crossing delays cause problems like huge economics loss and heavy...
In this paper, we proposed a sentence encoding-based model for recognizi...