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...
Saved in:
| 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: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures
by: Bo Lyu (16522643)
Published: (2024) -
MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
by: Sui Paul Ang (18460605)
Published: (2023) -
Evolution Of Activation Functions for Neural Architecture Search
by: Nader, Andrew
Published: (2020) -
Search engines & "flying search engine". (c2005)
by: Dbouk, Mohamed
Published: (2005) -
DAP: A dataset-agnostic predictor of neural network performance
by: Sui Paul Ang (18460605)
Published: (2024)