Generating Neural Networks for Diverse Networking Classification Tasks via Hardware-Aware Neural Architecture Search
Neural networks (NNs) are widely used in classification-based networking analysis to help
traffic transmission and system security. However, there are heterogeneous network devices …
traffic transmission and system security. However, there are heterogeneous network devices …
Building high-throughput neural architecture search workflows via a decoupled fitness prediction engine
AK Rorabaugh, S Caino-Lores… - … on Parallel and …, 2022 - ieeexplore.ieee.org
Neural networks (NN) are used in high-performance computing and high-throughput
analysis to extract knowledge from datasets. Neural architecture search (NAS) automates …
analysis to extract knowledge from datasets. Neural architecture search (NAS) automates …
{LitePred}: Transferable and Scalable Latency Prediction for {Hardware-Aware} Neural Architecture Search
Hardware-Aware Neural Architecture Search (NAS) has demonstrated success in
automating the design of affordable deep neural networks (DNNs) for edge platforms by …
automating the design of affordable deep neural networks (DNNs) for edge platforms by …
FLASH: F ast Neura l A rchitecture S earch with H ardware Optimization
Neural architecture search (NAS) is a promising technique to design efficient and high-
performance deep neural networks (DNNs). As the performance requirements of ML …
performance deep neural networks (DNNs). As the performance requirements of ML …
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information
Neural architecture search (NAS) can automatically discover well-performing architectures
in a large search space and has been shown to bring improvements to various applications …
in a large search space and has been shown to bring improvements to various applications …
[HTML][HTML] Network intrusion detection based on an efficient neural architecture search
Deep learning has been applied in the field of network intrusion detection and has yielded
good results. In malicious network traffic classification tasks, many studies have achieved …
good results. In malicious network traffic classification tasks, many studies have achieved …
CHaNAS: coordinated search for network architecture and scheduling policy
Automatically design an efficient DNN solution for a given deep learning task on the target
hardware mainly decided by the neural network architecture and the schedule mapping …
hardware mainly decided by the neural network architecture and the schedule mapping …
Evolution of hardware-aware neural architecture search (NAS) on the edge
Neural Architecture Search (NAS) is a method of autonomously designing deep learning
models to achieve top performance for tasks such as data classification and data retrieval by …
models to achieve top performance for tasks such as data classification and data retrieval by …
What to expect of hardware metric predictors in NAS
KA Laube, M Mutschler, A Zell - International Conference on …, 2022 - proceedings.mlr.press
Abstract Modern Neural Architecture Search (NAS) focuses on finding the best performing
architectures in hardware-aware settings; eg, those with an optimal tradeoff of accuracy and …
architectures in hardware-aware settings; eg, those with an optimal tradeoff of accuracy and …
Search-Time Efficient Device Constraints-Aware Neural Architecture Search
Edge computing aims to enable edge devices, such as IoT devices, to process data locally
instead of relying on the cloud. However, deep learning techniques like computer vision and …
instead of relying on the cloud. However, deep learning techniques like computer vision and …