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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 301–325 of 10033 papers

TitleStatusHype
Canonicalizing Knowledge Base LiteralsCode1
Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpusCode1
Case study: Mapping potential informal settlements areas in Tegucigalpa with machine learning to plan ground surveyCode1
copent: Estimating Copula Entropy and Transfer Entropy in RCode1
A Data-Centric Optimization Framework for Machine LearningCode1
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
Crystal structure prediction with machine learning-based element substitutionCode1
Cyberbullying Detection with Fairness ConstraintsCode1
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation HealthCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion DetectionCode1
Data Minimization for GDPR Compliance in Machine Learning ModelsCode1
Data Programming: Creating Large Training Sets, QuicklyCode1
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine LearningCode1
Leakage of Dataset Properties in Multi-Party Machine LearningCode1
A community-powered search of machine learning strategy space to find NMR property prediction modelsCode1
Data Shapley: Equitable Valuation of Data for Machine LearningCode1
A Model-Driven Approach to Machine Learning and Software Modeling for the IoTCode1
Anonymizing Machine Learning ModelsCode1
A Multimodal Machine Learning Framework for Teacher Vocal Delivery EvaluationCode1
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided ProceduresCode1
A benchmark study on reliable molecular supervised learning via Bayesian learningCode1
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine LearningCode1
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