Representative Samples: What Percentage of the Population Is Needed?

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...
GitHub

aws-samples/aws-eks-quarkus-example

This project contains the supporting code for the "How to deploy your Quarkus application to Amazon EKS" blog post. To build and deploy this application, you will need the AWS CLI, AWS CDK, Git, Maven ...
IEEE

Variation-Guided Condition Generation for Diffusion Inversion in Few-Shot Image Classification

Abstract: Few-shot learning (FSL) learns to recognize objects based on very limited examples of each category. An intuitive approach for FSL is to generate additional samples for few-shot categories.
GitHub

Vector samples - Azure AI Search

This repository provides Python, C#, REST, and JavaScript code samples for vector support in Azure AI Search. There are breaking changes from REST API version 2023-07-01-Preview to newer API versions.