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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 231–240 of 10033 papers

TitleStatusHype
An Introduction to Deep Reinforcement LearningCode1
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningCode1
An MPI-Based Python Framework for Distributed Training with KerasCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
Anomaly Detection in Emails using Machine Learning and Header InformationCode1
A Non-Parametric Test to Detect Data-Copying in Generative ModelsCode1
A comparative study of fairness-enhancing interventions in machine learningCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified