This repository is a curated list of academic papers focused on Neural Architecture Search (NAS), serving as a comprehensive resource for researchers and practitioners in the field. It categorizes papers by year and specific NAS tasks, providing a structured overview of the NAS landscape and key publications.

How It Works

The repository functions as a bibliography, meticulously compiling and organizing research papers related to Neural Architecture Search. It covers a wide array of NAS applications, including image segmentation, object detection, model compression, and more, with a focus on papers that have garnered significant interest.

Highlighted Details

• Extensive coverage of NAS papers from 1988 to the present, with a significant focus on 2019-2020.
• Categorization of papers by specific tasks such as Medical Image Segmentation, Object Detection, GANs, and Model Compression.
• Includes links to code repositories for many of the listed papers.

Maintenance & Community

This is a community-driven project, with contributions from various researchers in the NAS field. The README does not specify active maintenance or community channels.

Licensing & Compatibility

The repository itself is a collection of links and information, not software. It does not have a specific license.

Limitations & Caveats

The repository is a curated list and does not provide any implementation or tooling for NAS. It relies on the community for updates and may not be exhaustive or perfectly up-to-date.