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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 801–825 of 10033 papers

TitleStatusHype
By-passing the Kohn-Sham equations with machine learningCode1
Double/Debiased Machine Learning for Treatment and Causal ParametersCode1
Deep Learning with Differential PrivacyCode1
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysisCode1
Density estimation using Real NVPCode1
Data Programming: Creating Large Training Sets, QuicklyCode1
A Primer on the Signature Method in Machine LearningCode1
Second-Order Stochastic Optimization for Machine Learning in Linear TimeCode1
Practical Black-Box Attacks against Machine LearningCode1
Giraffe: Using Deep Reinforcement Learning to Play ChessCode1
Strategic ClassificationCode1
Convolutional LSTM Network: A Machine Learning Approach for Precipitation NowcastingCode1
Challenges in Representation Learning: A report on three machine learning contestsCode1
Online Portfolio Selection: A SurveyCode1
Behavioral Factors in Interactive Training of Text ClassifiersCode1
(1,1)-Cluster Editing is Polynomial-time Solvable—0
Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects—0
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021—0
Machine Learning and Bioinformatics for Diagnosis Analysis of Obesity Spectrum Disorders—0
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity—0
A Lightweight Machine Learning Pipeline for LiDAR-simulation—0
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption—0
Neural network accelerator for quantum controlCode0
Evolutionary bagging for ensemble learningCode0
Active Learning on a Programmable Photonic Quantum Processor—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified