Search Results for author: Pengfei Hou

Found 5 papers, 1 papers with code

Single-DARTS: Towards Stable Architecture Search

no code implementations18 Aug 2021 Pengfei Hou, Ying Jin, Yukang Chen

Differentiable architecture search (DARTS) marks a milestone in Neural Architecture Search (NAS), boasting simplicity and small search costs.

Neural Architecture Search

Neural Architecture Search with Random Labels

1 code implementation CVPR 2021 Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, Jian Sun

In this paper, we investigate a new variant of neural architecture search (NAS) paradigm -- searching with random labels (RLNAS).

Neural Architecture Search

Single-level Optimization For Differential Architecture Search

no code implementations15 Dec 2020 Pengfei Hou, Ying Jin

The bias causes the architecture parameters of non-learnable operations to surpass that of learnable operations.

VAENAS: Sampling Matters in Neural Architecture Search

no code implementations25 Sep 2019 Shizheng Qin, Yichen Zhu, Pengfei Hou, Xiangyu Zhang, Wenqiang Zhang, Jian Sun

In this paper, we propose a learnable sampling module based on variational auto-encoder (VAE) for neural architecture search (NAS), named as VAENAS, which can be easily embedded into existing weight sharing NAS framework, e. g., one-shot approach and gradient-based approach, and significantly improve the performance of searching results.

Neural Architecture Search

Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making

no code implementations1 Feb 2018 Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang

Tactical driving decision making is crucial for autonomous driving systems and has attracted considerable interest in recent years.

Autonomous Driving Decision Making +1

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