In this paper, we investigate the streaming bandits problem, wherein the...
In modern distributed computing applications, such as federated learning...
It is a growing direction to utilize unintended memorization in ML model...
In this work, we investigate online mechanisms for trading time-sensitiv...
The cost efficiency of model inference is critical to real-world machine...
Mobile-centric AI applications have high requirements for resource-effic...
Binaural audio plays a significant role in constructing immersive augmen...
Error correction techniques have been used to refine the output sentence...
Mean opinion score (MOS) is a popular subjective metric to assess the qu...
Machine teaching uses a meta/teacher model to guide the training of a st...
While the multi-branch architecture is one of the key ingredients to the...
This paper presents the design, implementation and evaluation of In-N-Ou...
In this paper, we develop a novel weighted Laplacian method, which is
pa...
Unsupervised neural machine translation (NMT) has attracted a lot of
att...
Teaching plays a very important role in our society, by spreading human
...
Voice input has been tremendously improving the user experience of mobil...