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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 231–240 of 10033 papers

TitleStatusHype
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance ComputingCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement PredictionCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
New Evolutionary Computation Models and their Applications to Machine LearningCode1
A survey on datasets for fairness-aware machine learningCode1
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
ML4ML: Automated Invariance Testing for Machine Learning ModelsCode1
Unbiased Single-scale and Multi-scale Quantizers for Distributed OptimizationCode1
GraphGT: Machine Learning Datasets for Graph Generation and TransformationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified