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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 451–460 of 10033 papers

TitleStatusHype
KML: Using Machine Learning to Improve Storage SystemsCode1
Knodle: Modular Weakly Supervised Learning with PyTorchCode1
Knowledge Informed Machine Learning using a Weibull-based Loss FunctionCode1
A Primer on the Signature Method in Machine LearningCode1
Quantum machine learning of large datasets using randomized measurementsCode1
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectivelyCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast FootageCode1
A quantum algorithm for training wide and deep classical neural networksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified