Zobrazeno 1 - 10
of 205
pro vyhledávání: '"Lerner, Benjamin A."'
Sparse Autoencoders for transformer-based language models are typically defined independently per layer. In this work we analyze statistical relationships between features in adjacent layers to understand how features evolve through a forward pass. W
Externí odkaz:
http://arxiv.org/abs/2410.08869
Autor:
Krishnamurthi, Shriram, Schanzer, Emmanuel, Politz, Joe Gibbs, Lerner, Benjamin S., Fisler, Kathi, Dooman, Sam
The Bootstrap Project's Data Science curriculum has trained about 100 teachers who are using it around the country. It is specifically designed to aid adoption at a wide range of institutions. It emphasizes valuable curricular goals by drawing on bot
Externí odkaz:
http://arxiv.org/abs/2005.01794
Publikováno v:
The Art, Science, and Engineering of Programming, 2019, Vol. 3, Issue 3, Article 11
The World model is an existing functional input-output mechanism for event-driven programming. It is used in numerous popular textbooks and curricular settings. The World model conflates two different tasks -- the definition of an event processor and
Externí odkaz:
http://arxiv.org/abs/1902.00735
Autor:
Woo, Karen, Siracuse, Jeffrey J., Klingbeil, Kyle, Kraiss, Larry W., Osborne, Nicholas H., Singh, Niten, Tan, Tze-Woei, Arya, Shipra, Banerjee, Subhash, Bonaca, Marc P., Brothers, Thomas, Conte, Michael S., Dawson, David L., Erben, Young, Lerner, Benjamin M., Lin, Judith C., Mills, Joseph L., Sr., Mittleider, Derek, Nair, Deepak G., O’Banion, Leigh Ann, Patterson, Robert B., Scheidt, Matthew J., Simons, Jessica P.
Publikováno v:
In Journal of Vascular Surgery July 2022 76(1):3-22
Autor:
LERNER, BENJAMIN
Publikováno v:
Vermont Magazine; Fall2024, Vol. 36 Issue 3, p58-72, 14p
Autor:
LERNER, BENJAMIN
Publikováno v:
Vermont Magazine; Fall2024, Vol. 36 Issue 3, p26-31, 5p
Autor:
LERNER, BENJAMIN
Publikováno v:
Vermont Magazine; Fall2024, Vol. 36 Issue 3, p32-38, 7p
Autor:
LERNER, BENJAMIN
Publikováno v:
Vermont Magazine; Fall2024, Vol. 36 Issue 3, p7-12, 6p
Autor:
Inala, Jeevana Priya, Polikarpova, Nadia, Qiu, Xiaokang, Lerner, Benjamin S., Solar-Lezama, Armando
Recent work has proposed a promising approach to improving scalability of program synthesis by allowing the user to supply a syntactic template that constrains the space of potential programs. Unfortunately, creating templates often requires nontrivi
Externí odkaz:
http://arxiv.org/abs/1507.05527
Autor:
Vieyra, Rebecca Elizabeth, Megowan-Romanowicz, Colleen, Fisler, Kathi, Lerner, Benjamin S., Politz, Joe Gibbs, Krishnamurthi, Shriram
Publikováno v:
Education Sciences; Aug2024, Vol. 14 Issue 8, p861, 18p