{"url":"/dataset/nas-bench-1shot1","name":"NAS-Bench-1Shot1","full_name":null,"description_markdown":"NAS-Bench-1Shot1 draws on the recent large-scale tabular benchmark NAS-Bench-101 for cheap anytime evaluations of one-shot NAS methods. \r\n\r\nSource: [NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search](https://arxiv.org/pdf/2001.10422v2.pdf)","description_withheld":null,"homepage":"https://github.com/automl/nasbench-1shot1","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/nas-bench-1shot1-benchmarking-and-dissecting-1","title":"NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search","first_author":"Arber Zela","url":null},"license":{"name":"Unknown","url":null},"modalities":[],"tasks":[{"name":"AutoML","url":"/task/automl","datasets_with_task":"/datasets/task/automl"},{"name":"Neural Architecture Search","url":"/task/architecture-search","datasets_with_task":"/datasets/task/architecture-search"},{"name":"Adversarial Attack","url":"/task/adversarial-attack","datasets_with_task":"/datasets/task/adversarial-attack"}],"languages":[],"variants":["NAS-Bench-1Shot1"],"data_loaders":[{"repo":"https://github.com/automl/nasbench-1shot1","url":"https://github.com/automl/nasbench-1shot1","frameworks":["pytorch"]}],"num_papers_in_archive":24,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}