all AI news
Semantic Cells: Evolutional Process to Acquire Sense Diversity of Items
April 24, 2024, 4:41 a.m. | Yukio Ohsawa, Dingding Xu, Kaira Sekiguchi
cs.LG updates on arXiv.org arxiv.org
Abstract: Previous models for learning the semantic vectors of items and their groups, such as words, sentences, nodes, and graphs, using distributed representation have been based on the assumption that an item corresponds to one vector composed of dimensions corresponding to hidden contexts in the target. Multiple senses of an item are represented by assigning a vector to each of the domains where the item may appear or reflecting the context to the sense of the …
abstract arxiv cells cs.cl cs.lg dimensions distributed diversity graphs hidden nodes process representation semantic sense type vector vectors words
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
1 day, 14 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne