Ontology highlight
ABSTRACT:
SUBMITTER: Kim KG
PROVIDER: S-EPMC11333831 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
Kim Kyung Geun KG Lee Byeong Tak BT
Frontiers in artificial intelligence 20240806
Many diverse phenomena in nature often inherently encode both short- and long-term temporal dependencies, which especially result from the direction of the flow of time. In this respect, we discovered experimental evidence suggesting that <i>interrelations</i> of these events are higher for closer time stamps. However, to be able for attention-based models to learn these regularities in short-term dependencies, it requires large amounts of data, which are often infeasible. This is because, while ...[more]