MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Recent studies on neural architecture search have shown that automatically designed neural networks perform as good as human-designed architectures. While most existing works on neural architecture search aim at finding architectures that optimize for prediction accuracy. These methods may generate complex architectures consuming excessively high energy consumption, which is not suitable for computing environment with limited power budgets. We propose MONAS, a Multi-Objective Neural Architecture Search with novel reward functions that consider both prediction accuracy and power consumption when exploring neural architectures. MONAS effectively explores the design space and searches for architectures satisfying the given requirements. The experimental results demonstrate that the architectures found by MONAS achieve accuracy comparable to or better than the state-of-the-art models, while having better energy efficiency.
Authors

Are you an author of this paper? Check the Twitter handle we have for you is correct.

Chi-Hung Hsu (add twitter)
Shu-Huan Chang (add twitter)
Da-Cheng Juan (add twitter)
Jia-Yu Pan (add twitter)
Yu-Ting Chen (add twitter)
Wei Wei (add twitter)
Shih-Chieh Chang (add twitter)
Ask The Authors

Ask the authors of this paper a question or leave a comment.

Read it. Rate it.
#1. Which part of the paper did you read?

#2. The paper contains new data or analyses that is openly accessible?
#3. The conclusion is supported by the data and analyses?
#4. The conclusion is of scientific interest?
#5. The result is likely to lead to future research?

Github
User:
None (add)
Repo:
None (add)
Stargazers:
0
Forks:
0
Open Issues:
0
Network:
0
Subscribers:
0
Language:
None
Youtube
Link:
None (add)
Views:
0
Likes:
0
Dislikes:
0
Favorites:
0
Comments:
0
Other
Sample Sizes (N=):
Inserted:
Words Total:
Words Unique:
Source:
Abstract:
None
06/27/18 06:13PM
3,306
1,221
Tweets
PerthMLGroup: RT @Miles_Brundage: "MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning," Hsu et al.: https://t.co/BWjtfEN9pE
nmfeeds: [O] https://t.co/J5BI9pIGDH MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. Recent studies...
Images
Related