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Croissant: A Metadata Format for ML-Ready Datasets., , , , , , , , , и 9 other автор(ы). CoRR, (2024)MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI., , , , , , , , , и 17 other автор(ы). MLSys, mlsys.org, (2022)ML Benchmark Design Challenges.. Hot Chips Symposium, стр. 1-36. IEEE, (2019)Multilingual Spoken Words Corpus., , , , , , , , , и 4 other автор(ы). NeurIPS Datasets and Benchmarks, (2021)MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems., , , , , , , , , и 33 other автор(ы). MLHPC@SC, стр. 33-45. IEEE, (2021)MLPerf Inference Benchmark., , , , , , , , , и 37 other автор(ы). ISCA, стр. 446-459. IEEE, (2020)Croissant: A Metadata Format for ML-Ready Datasets., , , , , , , , , и 11 other автор(ы). DEEM@SIGMOD, стр. 1-6. ACM, (2024)Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks., , , , , , , , , и . ACL (demo), стр. 174-181. Association for Computational Linguistics, (2022)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , и 28 other автор(ы). CoRR, (2023)Federated benchmarking of medical artificial intelligence with MedPerf., , , , , , , , , и 64 other автор(ы). Nat. Mac. Intell., 5 (7): 799-810 (июля 2023)