Efficient multi-objective neural architecture search framework via policy gradient algorithm

Efficient multi-objective neural architecture search framework via policy gradient algorithm

<p>Differentiable architecture search plays a prominent role in Neural Architecture Search (NAS) and exhibits preferable efficiency than traditional heuristic NAS methods, including those based on evolutionary algorithms (EA) and reinforcement learning (RL). However, differentiable NAS methods...

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Bibliographic Details
Main Author: Bo Lyu (16522643) (author)
Other Authors: Yin Yang (35103) (author), Yuting Cao (4231810) (author), Pengcheng Wang (400334) (author), Jian Zhu (126278) (author), Jingfei Chang (19325611) (author), Shiping Wen (7168688) (author)
Published: 2024
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
Neural architecture search
Reinforcement learning
Non-differentiable
Supernetwork
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