Transductive Few-Shot Learning (TFSL) has recently attracted increasing
...
Unsupervised speech recognition (ASR-U) is the problem of learning autom...
Template mining is one of the foundational tasks to support log analysis...
Temporal action localization aims to predict the boundary and category o...
Taking advantage of the rich information provided by Wi-Fi measurement
s...
Cryptographic protocols have been widely used to protect the user's priv...
Despite the success of deep learning for static image understanding, it
...
This paper describes XNMT, the eXtensible Neural Machine Translation too...
We summarize the accomplishments of a multi-disciplinary workshop explor...
This paper offers a characterization of fundamental limits on the
classi...
We investigate connections between information-theoretic and
estimation-...