all AI news
Strong Lottery Ticket Hypothesis with $\varepsilon$--perturbation. (arXiv:2210.16589v1 [cs.LG])
Nov. 1, 2022, 1:11 a.m. | Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis
cs.LG updates on arXiv.org arxiv.org
The strong Lottery Ticket Hypothesis (LTH) claims the existence of a
subnetwork in a sufficiently large, randomly initialized neural network that
approximates some target neural network without the need of training. We extend
the theoretical guarantee of the strong LTH literature to a scenario more
similar to the original LTH, by generalizing the weight change in the
pre-training step to some perturbation around initialization. In particular, we
focus on the following open questions: By allowing an $\varepsilon$-scale
perturbation on the …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
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
Data Science Analyst
@ Mayo Clinic | AZ, United States
Sr. Data Scientist (Network Engineering)
@ SpaceX | Redmond, WA