Differentiable neural architecture search

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Differentiable Neural Architecture Search for Photonic-Aware Neural Networks

2025 30th OptoElectronics and Communications Conference (OECC) and 2025 International Conference on Photonics in Switching and Computing (PSC)
We propose a differentiable Neural Architecture Search framework for photonic-aware neural networks integrating photonic constraints and quantization-aware training. The resulting architectures outperform handcrafted models achieving 79% accuracy at 6-bit quantization, closely matching full-precision baselines.
Paolini G. +3 more
openaire +2 more sources

LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture

IEEE Transactions on Neural Networks and Learning Systems
The adversarial robustness is critical to deep neural networks (DNNs) in deployment. However, the improvement of adversarial robustness often requires compromising with the network size. Existing approaches to addressing this problem mainly focus on the combination of model compression and adversarial training. However, their performance heavily relies
Yuqi Feng +5 more
openaire +2 more sources

Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search

IEEE Transactions on Industrial Informatics, 2023
Yu Xue, Jiafeng Qin
exaly

DLW-NAS: Differentiable Light-Weight Neural Architecture Search