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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 781790 of 10033 papers

TitleStatusHype
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine LearningCode1
A comparative study of fairness-enhancing interventions in machine learningCode1
Consistent Individualized Feature Attribution for Tree EnsemblesCode1
UMAP: Uniform Manifold Approximation and Projection for Dimension ReductionCode1
An MPI-Based Python Framework for Distributed Training with KerasCode1
Snorkel: Rapid Training Data Creation with Weak SupervisionCode1
Review highlights: opinion mining on reviews: a hybrid model for rule selection in aspect extractionCode1
Provably Fair RepresentationsCode1
Semantic Preserving Embeddings for Generalized GraphsCode1
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning AlgorithmsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified