Synthetic Outliers Evaluation

Benchmarks

Papers

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation

2024-10-28 · Azizjon Azimi, Bonu Boboeva, Ilyas Varshavskiy, Shuhrat Khalilbekov 외

The phenomenon of "black swans" has posed a fundamental challenge to performance of classical machine learning models. The perceived rise in frequency of outlier conditions, especially in post-pandemic environment, has n…

Binary Classification Generative Adversarial Network Synthetic Data Evaluation Synthetic Data Generation+1

Synthetic Outliers Evaluation

Benchmarks

A9 (3% outliers)

A9 (5% outliers)

A9 (7.4% outliers)

Papers

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation