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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 501–550 of 10033 papers

TitleStatusHype
Annotationsaurus: A Searchable Directory of Annotation ToolsCode1
Garfield: System Support for Byzantine Machine LearningCode1
On Feature Selection Using Anisotropic General Regression Neural NetworkCode1
Lambda Learner: Fast Incremental Learning on Data StreamsCode1
Large-scale randomized experiment reveals machine learning helps people learn and remember more effectivelyCode1
Tail-risk protection: Machine Learning meets modern EconometricsCode1
Knowledge-Based Learning of Nonlinear Dynamics and ChaosCode1
FaultNet: A Deep Convolutional Neural Network for bearing fault classificationCode1
Neural BootstrapperCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
Momentum via Primal Averaging: Theoretical Insights and Learning Rate Schedules for Non-Convex OptimizationCode1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Physics Informed Neural Networks for Simulating Radiative TransferCode1
Dataset Optimization Strategies for MalwareTraffic DetectionCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
ThingML+ Augmenting Model-Driven Software Engineering for the Internet of Things with Machine LearningCode1
From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2)Code1
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning ModelsCode1
Phishing Detection Using Machine Learning TechniquesCode1
DEAP Cache: Deep Eviction Admission and Prefetching for CacheCode1
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
MeLIME: Meaningful Local Explanation for Machine Learning ModelsCode1
Interpretable Machine Learning Approaches to Prediction of Chronic HomelessnessCode1
Modern Methods for Text GenerationCode1
Neural-PDE: A RNN based neural network for solving time dependent PDEsCode1
Data Readiness for Natural Language ProcessingCode1
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event LogsCode1
P6: A Declarative Language for Integrating Machine Learning in Visual AnalyticsCode1
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasetsCode1
Counterfactual Explanations for Machine Learning on Multivariate Time Series DataCode1
Developing and Defeating Adversarial ExamplesCode1
HinglishNLP: Fine-tuned Language Models for Hinglish Sentiment DetectionCode1
The effect of data encoding on the expressive power of variational quantum machine learning modelsCode1
Inductive logic programming at 30: a new introductionCode1
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware DetectionCode1
AIPerf: Automated machine learning as an AI-HPC benchmarkCode1
A community-powered search of machine learning strategy space to find NMR property prediction modelsCode1
Machine Learning for Dynamic Resource Allocation in Network Function VirtualizationCode1
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision SensorsCode1
Active Importance Sampling for Variational Objectives Dominated by Rare Events: Consequences for Optimization and GeneralizationCode1
Deep learning for photoacoustic imaging: a surveyCode1
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and ApplicationCode1
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-state Functional ConnectivityCode1
From Connectomic to Task-evoked Fingerprints: Individualized Prediction of Task Contrasts fromResting-state Functional ConnectivityCode1
Data Minimization for GDPR Compliance in Machine Learning ModelsCode1
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective ApproachCode1
Anonymizing Machine Learning ModelsCode1
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep LearningCode1
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Benchmark Results

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