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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 651–675 of 10033 papers

TitleStatusHype
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in PythonCode1
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Dynamic GPU Energy Optimization for Machine Learning Training WorkloadsCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
A Model-Driven Approach to Machine Learning and Software Modeling for the IoTCode1
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systemsCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep ScoringCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
BAGEL: A Benchmark for Assessing Graph Neural Network ExplanationsCode1
Logic Synthesis Meets Machine Learning: Trading Exactness for GeneralizationCode1
Double/Debiased Machine Learning for Treatment and Causal ParametersCode1
Machine learning accelerated computational fluid dynamicsCode1
Machine-Learning-Based Diagnostics of EEG PathologyCode1
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography VolumesCode1
DEER: Descriptive Knowledge Graph for Explaining Entity RelationshipsCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Machine Learning for Electronic Design Automation: A SurveyCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
Behavioral Factors in Interactive Training of Text ClassifiersCode1
Domain Shift in Computer Vision models for MRI data analysis: An OverviewCode1
Benchmarking Econometric and Machine Learning Methodologies in NowcastingCode1
Benchmarking machine learning models on multi-centre eICU critical care datasetCode1
Double Machine Learning based Program Evaluation under UnconfoundednessCode1
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Benchmark Results

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1Fb232account and password 100—Unverified