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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 726–750 of 10033 papers

TitleStatusHype
Machine learning on knowledge graphs for context-aware security monitoringCode1
Machine Learning Time Series Regressions with an Application to NowcastingCode1
Machine Learning with Membership Privacy using Adversarial RegularizationCode1
Making a Spiking Net Work: Robust brain-like unsupervised machine learningCode1
Anomaly Detection in Emails using Machine Learning and Header InformationCode1
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine LearningCode1
Manifoldron: Direct Space Partition via Manifold DiscoveryCode1
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type InferenceCode1
Mapping Images to Psychological Similarity Spaces Using Neural NetworksCode1
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
Measuring Data Leakage in Machine-Learning Models with Fisher InformationCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
Membership Inference Attacks on Machine Learning: A SurveyCode1
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware DetectionCode1
Meta Dropout: Learning to Perturb Features for GeneralizationCode1
Meta-learning with differentiable closed-form solversCode1
MEUZZ: Smart Seed Scheduling for Hybrid FuzzingCode1
ML4CO-KIDA: Knowledge Inheritance in Dataset AggregationCode1
ML4ML: Automated Invariance Testing for Machine Learning ModelsCode1
An Empirical Study of Personalized Federated LearningCode1
MLGO: a Machine Learning Guided Compiler Optimizations FrameworkCode1
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning ModelsCode1
An empirical evaluation of active inference in multi-armed banditsCode1
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman ProblemCode1
An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature SelectionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified