NiuTrans/NASPapers
Paper lists of neural architecture search (NAS)
This document helps machine learning researchers and practitioners stay current with the field of Neural Architecture Search (NAS). It compiles and categorizes academic papers published between 2017 and February 2021 from top conferences and journals. You get a curated list of research papers, often with links to their code, classified by popular topics and tasks like image classification, object detection, and machine translation.
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Use this if you are a machine learning researcher or engineer focusing on Neural Architecture Search and need a well-organized reference of key papers, including those with available code.
Not ideal if you are looking for an interactive tool to perform architecture search or for papers published after February 2021.
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