Self-supervised learning (SSL) has shown promising results in various sp...
In the era of extensive intersection between art and Artificial Intellig...
Self-supervised learning (SSL) has recently emerged as a promising parad...
Due to Multilingual Neural Machine Translation's (MNMT) capability of
ze...
Previous research has demonstrated that natural language explanations pr...
Recent years have witnessed the emergence of textual commonsense knowled...
The spread of an undesirable contact process, such as an infectious dise...
The deep learning community has witnessed an exponentially growing inter...
In this paper, we propose a new method for knowledge base completion (KB...
This paper details our participation in the Challenges and Applications ...
In this paper, we present our approach and empirical observations for
Ca...
In applications of group testing in networks, e.g. identifying individua...
Rules have a number of desirable properties. It is easy to understand, i...
We study how to enhance language models (LMs) with textual commonsense
k...
The interplay between timeliness and rate efficiency is investigated in
...
Efficient sampling and remote estimation is critical for a plethora of
w...
In applications of remote sensing, estimation, and control, timely
commu...
This paper investigates the incentives of mobile network operators (MNOs...
This paper investigates the incentives of mobile network operators (MNOs...
Age of Information (AoI) is studied in two-user broadcast networks with
...
We consider the economics of the interaction between Mobile Virtual Netw...