Jul 14, 2021 · This paper proposes the notion of "a benchmark lottery" that describes the overall fragility of the ML benchmarking process. The benchmark ...
Jun 7, 2021 · This paper proposes the notion of a benchmark lottery that describes the overall fragility of the ML benchmarking process. The benchmark lottery ...
Jul 14, 2021 · This paper presents analyses on how benchmarks may affect the direction and pace of progress in machine learning and puts forward the notion of ...
Jul 17, 2021 · This paper proposes the notion of "a benchmark lottery" that describes the overall fragility of the ML benchmarking process. The benchmark ...
Sep 7, 2024 · This paper proposes the notion of "a benchmark lottery" that describes the overall fragility of the ML benchmarking process. The benchmark ...
fitting benchmarks and experimental setups to models instead. 61. Overall, this paper explores these aspects of model evaluation in machine learning research.
Abstract: Machine learning (ML) research strongly relies on benchmarks in order to determine the relative effectiveness of newly proposed models.
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Jul 16, 2021 · The Benchmark Lottery pdf: https ... a benchmark lottery that describes the overall fragility of the ML benchmarking process.
Abstract—Machine learning (ML) research strongly relies on benchmarks in order to determine the relative effectiveness of newly proposed models.
AI-focused benchmarks provide standardized metrics to evaluate and compare the performance of different algorithms, model architectures, and hardware platforms.