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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 221–230 of 10033 papers

TitleStatusHype
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output LabelsCode1
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
A Data-Centric Optimization Framework for Machine LearningCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic OptimizationCode1
Automated Essay Scoring Using Transformer ModelsCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance ComputingCode1
FOD-A: A Dataset for Foreign Object Debris in AirportsCode1
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random ForestsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified