BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2276–2300 of 10033 papers

Title	Date	Tasks	Status	Score
Causality for Machine Learning	Nov 24, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning	Apr 10, 2019	BIG-bench Machine LearningFairness	CodeCode Available	5
Fairwashing: the risk of rationalization	Jan 28, 2019	BIG-bench Machine LearningFairness	CodeCode Available	5
Constant Size Molecular Descriptors For Use With Machine Learning	Jan 23, 2017	BIG-bench Machine Learning	CodeCode Available	5
A hybrid approach to supervised machine learning for algorithmic melody composition	Dec 29, 2016	BIG-bench Machine Learning	CodeCode Available	5
Fast and realistic large-scale structure from machine-learning-augmented random field simulations	May 16, 2022	BIG-bench Machine Learning	CodeCode Available	5
Fast and Reliable Architecture Selection for Convolutional Neural Networks	May 6, 2019	Bayesian OptimisationBIG-bench Machine Learning	CodeCode Available	5
Constrained Submodular Optimization for Vaccine Design	Jun 16, 2022	BIG-bench Machine Learning	CodeCode Available	5
Fast Counting in Machine Learning Applications	Apr 12, 2018	BIG-bench Machine LearningComputational Efficiency	CodeCode Available	5
Patch Learning	Jun 1, 2019	BIG-bench Machine LearningEnsemble Learning	CodeCode Available	5
fastFM: A Library for Factorization Machines	May 4, 2015	BIG-bench Machine LearningGeneral Classification	CodeCode Available	5
Causal discovery for observational sciences using supervised machine learning	Feb 25, 2022	BIG-bench Machine LearningCausal Discovery	CodeCode Available	5
A Hybrid Approach to Privacy-Preserving Federated Learning	Dec 7, 2018	BIG-bench Machine LearningFederated Learning	CodeCode Available	5
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning	Jan 31, 2020	BIG-bench Machine Learningglobal-optimization	CodeCode Available	5
Constraining Effective Field Theories with Machine Learning	Apr 30, 2018	BIG-bench Machine Learning	CodeCode Available	5
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning	Apr 20, 2018	BIG-bench Machine Learning	CodeCode Available	5
Concrete Problems in AI Safety	Jun 21, 2016	BIG-bench Machine LearningSafe Exploration	CodeCode Available	5
Comparison Between Traditional Machine Learning Models And Neural Network Models For Vietnamese Hate Speech Detection	Jan 31, 2020	BIG-bench Machine LearningHate Speech Detection	CodeCode Available	5
Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data	Feb 1, 2021	BIG-bench Machine LearningSurvival Analysis	CodeCode Available	5
Conditional independence testing: a predictive perspective	Jul 31, 2019	BIG-bench Machine Learning	CodeCode Available	5
Adaptation Strategies for Automated Machine Learning on Evolving Data	Jun 9, 2020	AutoMLBayesian Optimization	CodeCode Available	5
Compressing physical properties of atomic species for improving predictive chemistry	Oct 31, 2018	BIG-bench Machine Learning	CodeCode Available	5
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning	Feb 2, 2021	BIG-bench Machine LearningClustering	CodeCode Available	5
Computational Ad Hominem Detection	Jul 1, 2019	BIG-bench Machine Learning	CodeCode Available	5
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model	Nov 3, 2020	BIG-bench Machine Learning	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Fb232	account and password	100	—	Unverified