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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 551–560 of 10033 papers

TitleStatusHype
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep LearningCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
Benchmarking machine learning models on multi-centre eICU critical care datasetCode1
Anonymizing Machine Learning ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified