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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 251–260 of 10033 papers

TitleStatusHype
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
Dynamic GPU Energy Optimization for Machine Learning Training WorkloadsCode1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
Benchmarking machine learning models on multi-centre eICU critical care datasetCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningCode1
Bias in Automated Speaker RecognitionCode1
A flow-based IDS using Machine Learning in eBPFCode1
A benchmark study on reliable molecular supervised learning via Bayesian learningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified