Multi-objective Neural Architecture Search via Non-stationary Policy Gradient

23 Jan 2020Zewei ChenFengwei ZhouGeorge TrimponiasZhenguo Li

Multi-objective Neural Architecture Search (NAS) aims to discover novel architectures in the presence of multiple conflicting objectives. Despite recent progress, the problem of approximating the full Pareto front accurately and efficiently remains challenging... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.