As more and more AI agents are used in practice, it is time to think about how to make these
agents fully autonomous so that they can (1) learn by themselves continually in a self …

Much of the existing work on text novelty detection has been studied at the topic level, ie,
identifying whether the topic of a document or a sentence is novel or not. Little work has …

As more and more AI agents are used in practice, we need to think about how to make these
agents fully autonomous so that they can (1) learn by themselves continually in a self …

State-of-the-art natural language processing models have been shown to achieve
remarkable performance in'closed-world'settings where all the labels in the evaluation set …

Autonomous agents acting in real-world environments often need to reason with unknown
novelties interfering with their plan execution. Novelty is an unexpected phenomenon that …

Much of the existing work on text novelty detection has been studied at the topic level, ie,
identifying whether the topic of a document or a sentence is novel or not. Little work has …

This paper describes several approaches proposed by the MeMAD Team for the MediaEval
2021 “Predicting Media Memorability” task. Our best approach is based on early fusion of …

Novelty, anomaly, or out-of-distribution (OOD) detection has been an active research area
for decades, since the 1960s [,], due to its widespread applications in various domains [,] …

Whether on TV or on the internet, video content production is seeing an unprecedented rise.
Not only is video the dominant medium for entertainment purposes, but it is also reckoned to …

Text enrichment, the task of augmenting textual content by incorporating supplementary
information to bridge knowledge gaps and enhance reader engagement, is a critical aspect …