Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Maor Ivgi"'
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 11, Pp 284-299 (2023)
AbstractTransformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific articles, and long documents due to their quadratic complexity. While
Externí odkaz:
https://doaj.org/article/2b12ce3fc74a49119e3b80e050eb3df8
Publikováno v:
Information, Vol 13, Iss 1, p 15 (2021)
Interpretability is becoming an active research topic as machine learning (ML) models are more widely used to make critical decisions. Tabular data are one of the most commonly used modes of data in diverse applications such as healthcare and finance
Externí odkaz:
https://doaj.org/article/291c858522f94d45a8fb4147f15e2e37
Transformer-based pretrained language models (LMs) are ubiquitous across natural language understanding, but cannot be applied to long sequences such as stories, scientific articles and long documents, due to their quadratic complexity. While a myria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03b5458dc44ca2e2cb6331eace6557e9
Autor:
Pecher, Branislav1 (AUTHOR) branislav.pecher@kinit.sk, Srba, Ivan2 (AUTHOR) ivan.srba@kinit.sk, Bielikova, Maria3 (AUTHOR) maria.bielikova@kinit.sk
Publikováno v:
ACM Computing Surveys. Jan2025, Vol. 57 Issue 1, p1-40. 40p.
Autor:
he, Jia-long1 (AUTHOR), zhang, Xiao-Lin1 (AUTHOR) zhangxl@imust.edu.cn, wang, Yong-Ping1 (AUTHOR), gu, Rui-Chun1 (AUTHOR), liu, Li-xin1 (AUTHOR), xu, En-Hui2 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 2, p5191-5202. 12p.
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP)
Generating images from scene graphs is a challenging task that attracted substantial interest recently. Prior works have approached this task by generating an intermediate layout description of the target image. However, the representation of each ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b033eda7d158803075388bd5b83a0c2
Autor:
Ghorbani, Amirata1 (AUTHOR) amiratag@stanford.edu, Berenbaum, Dina2 (AUTHOR) dina.berenbaum@demystify-ai.com, Ivgi, Maor2 (AUTHOR) maor.ivgi@demystify-ai.com, Dafna, Yuval2 (AUTHOR), Zou, James Y.1 (AUTHOR) maor.ivgi@demystify-ai.com
Publikováno v:
Information (2078-2489). Jan2022, Vol. 13 Issue 1, p15-N.PAG. 1p.