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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 871–880 of 10033 papers

TitleStatusHype
A General Theory for Training Learning Machine—0
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation—0
ORCCA: Optimal Randomized Canonical Correlation Analysis—0
A General Neural Network Hardware Architecture on FPGA—0
MaxiMin Active Learning in Overparameterized Model Classes—0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning—0
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem—0
Active Learning from Crowd in Document Screening—0
An Iterative Scientific Machine Learning Approach for Discovery of Theories Underlying Physical Phenomena—0
A Generalized Meta-loss function for regression and classification using privileged information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified