Web: http://arxiv.org/abs/2203.04300

Sept. 22, 2022, 1:14 a.m. | Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li

cs.CV updates on arXiv.org arxiv.org

In this paper, we propose MENAS, an efficient multi-trial evolution-based NAS
method with less human intervention. Specifically, we propose an enlarged
search space (MobileNet3-MT) for ImageNet-1K and improve the search efficiency
from two aspects. First, MENAS jointly explores architectures and optimal
pruned candidates (Lottery Tickets), gradually slimming the average model in
populations. Each model is trained with an early stop and replaced by its
Lottery Tickets, instead of first searching for a cumbersome network then
conducting pruning. Second, we introduce …

architecture arxiv neural architecture search search

More from arxiv.org / cs.CV updates on arXiv.org

Research Scientists

@ ODU Research Foundation | Norfolk, Virginia

Embedded Systems Engineer (Robotics)

@ Neo Cybernetica | Bedford, New Hampshire

2023 Luis J. Alvarez and Admiral Grace M. Hopper Postdoc Fellowship in Computing Sciences

@ Lawrence Berkeley National Lab | San Francisco, CA

Senior Manager Data Scientist

@ NAV | Remote, US

Senior AI Research Scientist

@ Earth Species Project | Remote anywhere

Research Fellow- Center for Security and Emerging Technology (Multiple Opportunities)

@ University of California Davis | Washington, DC

Staff Fellow - Data Scientist

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Staff Fellow - Senior Data Engineer

@ U.S. FDA/Center for Devices and Radiological Health | Silver Spring, Maryland

Tech Business Data Analyst

@ Fivesky | Alpharetta, GA

Senior Applied Scientist

@ Amazon.com | London, England, GBR

AI Researcher (Junior/Mid-level)

@ Charles River Analytics Inc. | Cambridge, MA

Data Engineer - Machine Learning & AI

@ Calabrio | Minneapolis, Minnesota, United States