all AI news
Evolving Zero Cost Proxies For Neural Architecture Scoring. (arXiv:2209.07413v1 [cs.LG])
Sept. 16, 2022, 1:12 a.m. | Yash Akhauri, J. Pablo Munoz, Nilesh Jain, Ravi Iyer
cs.LG updates on arXiv.org arxiv.org
Neural Architecture Search (NAS) has significantly improved productivity in
the design and deployment of neural networks (NN). As NAS typically evaluates
multiple models by training them partially or completely, the improved
productivity comes at the cost of significant carbon footprint. To alleviate
this expensive training routine, zero-shot/cost proxies analyze an NN at
initialization to generate a score, which correlates highly with its true
accuracy. Zero-cost proxies are currently designed by experts conducting
multiple cycles of empirical testing on possible algorithms, …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer
@ GPTZero | Toronto, Canada
ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)
@ HelloBetter | Remote
Doctoral Researcher (m/f/div) in Automated Processing of Bioimages
@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena
Seeking Developers and Engineers for AI T-Shirt Generator Project
@ Chevon Hicks | Remote
Senior Applied Data Scientist
@ dunnhumby | London
Principal Data Architect - Azure & Big Data
@ MGM Resorts International | Home Office - US, NV