all AI news
Universal Mini-Batch Consistency for Set Encoding Functions. (arXiv:2208.12401v1 [cs.LG])
Aug. 29, 2022, 1:12 a.m. | Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang
stat.ML updates on arXiv.org arxiv.org
Previous works have established solid foundations for neural set functions,
as well as effective architectures which preserve the necessary properties for
operating on sets, such as being invariant to permutations of the set elements.
Subsequently, Mini-Batch Consistency (MBC), the ability to sequentially process
any permutation of any random set partition scheme while maintaining
consistency guarantees on the output, has been established but with limited
options for network architectures. We further study the MBC property in neural
set encoding functions, establishing …
More from arxiv.org / stat.ML updates on arXiv.org
Estimation Sample Complexity of a Class of Nonlinear Continuous-time Systems
2 days, 12 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
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
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Analytics & Insight Specialist, Customer Success
@ Fortinet | Ottawa, ON, Canada
Account Director, ChatGPT Enterprise - Majors
@ OpenAI | Remote - Paris