ExNAS: Experiential Neural Architecture Selection for Real-Time Inference Optimization

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: JOSE MARIA LANCHO RODRIGUEZ
DOI: 10.5281/zenodo.18659858
Cited by: 0

Abstract

Code repository for the paper "ExNAS: Experiential Neural Architecture Selection for Real-Time Inference Optimization" submitted to PeerJ Computer Science. Includes all experimental scripts for CNN Online Learning, Trap Zone Experiment (CIFAR-100), ResNet-56 A100 Comparison, Fingerprint Ablation, Video Processing, and Qwen2-0.5B experiments.

Fields of Study & Subjects

Advanced Neural Network Applications Domain Adaptation and Few-Shot Learning Machine Learning and Data Classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 February 2026
Language
EN