arXiv CSopen access
On the Reliability of Generative Augmentation: A Wasserstein-Based Theoretical and Empirical Study
machine learning, deep learning, neural networks
This document is indexed with metadata only — full text is not available in the archive for this record.
Open the official source ↗
Record · ID 627696
Conceptio Open Knowledge Archive — every document is proof-bundled with source, license, and retrieval metadata.