Survey on evolutionary deep learning: Principles, algorithms, applications, and open issues

N Li, L Ma, G Yu, B Xue, M Zhang, Y Jin - ACM Computing Surveys, 2023 - dl.acm.org
Over recent years, there has been a rapid development of deep learning (DL) in both
industry and academia fields. However, finding the optimal hyperparameters of a DL model …

Visual tuning

BXB Yu, J Chang, H Wang, L Liu, S Wang… - ACM Computing …, 2024 - dl.acm.org
Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …

Autosnn: Towards energy-efficient spiking neural networks

B Na, J Mok, S Park, D Lee, H Choe… - … on Machine Learning, 2022 - proceedings.mlr.press
Spiking neural networks (SNNs) that mimic information transmission in the brain can energy-
efficiently process spatio-temporal information through discrete and sparse spikes, thereby …

Neural architecture search for transformers: A survey

KT Chitty-Venkata, M Emani, V Vishwanath… - IEEE …, 2022 - ieeexplore.ieee.org
Transformer-based Deep Neural Network architectures have gained tremendous interest
due to their effectiveness in various applications across Natural Language Processing (NLP) …

Graph neural architecture search: A survey

BM Oloulade, J Gao, J Chen, T Lyu… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
In academia and industries, graph neural networks (GNNs) have emerged as a powerful
approach to graph data processing ranging from node classification and link prediction tasks …

[HTML][HTML] Detection of pesticide residue level in grape using hyperspectral imaging with machine learning

W Ye, T Yan, C Zhang, L Duan, W Chen, H Song… - Foods, 2022 - mdpi.com
Rapid and accurate detection of pesticide residue levels can help to prevent the harm of
pesticide residue. This study used visible/near-infrared (Vis-NIR)(376–1044 nm) and near …

One-shot neural architecture search for fault diagnosis using vibration signals

X Li, J Zheng, M Li, W Ma, Y Hu - Expert Systems with Applications, 2022 - Elsevier
Abstract Machine learning method has been widely applied in industrial fault diagnosis,
especially the deep learning method. In the field of industrial fault diagnosis, deep learning …

Neural architecture search benchmarks: Insights and survey

KT Chitty-Venkata, M Emani, V Vishwanath… - IEEE …, 2023 - ieeexplore.ieee.org
Neural Architecture Search (NAS), a promising and fast-moving research field, aims to
automate the architectural design of Deep Neural Networks (DNNs) to achieve better …

LightNAS: On Lightweight and Scalable Neural Architecture Search for Embedded Platforms

X Luo, D Liu, H Kong, S Huai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Neural architecture search (NAS) is an emerging paradigm to automate the design of
competitive deep neural networks (DNNs). In practice, DNNs are subject to strict latency …

Accurate and lightweight image super-resolution with model-guided deep unfolding network

Q Ning, W Dong, G Shi, L Li, X Li - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Deep neural networks (DNNs) based methods have achieved great success in single image
super-resolution (SISR). However, existing state-of-the-art SISR techniques are designed …