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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 601650 of 10033 papers

TitleStatusHype
Machine learning in spectral domainCode1
Machine Learning Time Series Regressions with an Application to NowcastingCode1
SafeML: Safety Monitoring of Machine Learning Classifiers through Statistical Difference MeasureCode1
Kernel methods library for pattern analysis and machine learning in pythonCode1
copent: Estimating Copula Entropy and Transfer Entropy in RCode1
Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration DataCode1
DeltaPy: A Framework for Tabular Data Augmentation in PythonCode1
MANGO: A Python Library for Parallel Hyperparameter TuningCode1
Head2Head: Video-based Neural Head SynthesisCode1
SymJAX: symbolic CPU/GPU/TPU programmingCode1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
On Intrinsic Dataset Properties for Adversarial Machine LearningCode1
Surfboard: Audio Feature Extraction for Modern Machine LearningCode1
Usage of Network Simulators in Machine-Learning-Assisted 5G/6G NetworksCode1
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 StudyCode1
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion DetectorsCode1
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine LearningCode1
Manthan: A Data Driven Approach for Boolean Function SynthesisCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
Cyberbullying Detection with Fairness ConstraintsCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism PredictionCode1
Sherpa: Robust Hyperparameter Optimization for Machine LearningCode1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
Interpreting Rate-Distortion of Variational Autoencoder and Using Model Uncertainty for Anomaly DetectionCode1
Differential Machine LearningCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
Meta Dropout: Learning to Perturb Latent Features for GeneralizationCode1
DriveML: An R Package for Driverless Machine LearningCode1
The Grammar of Interactive Explanatory Model AnalysisCode1
NUBIA: NeUral Based Interchangeability Assessor for Text GenerationCode1
Neural Additive Models: Interpretable Machine Learning with Neural NetsCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Machine Learning Methods for Brain Network Classification: Application to Autism Diagnosis using Cortical Morphological NetworksCode1
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated LearningCode1
NetML: A Challenge for Network Traffic AnalyticsCode1
SplitFed: When Federated Learning Meets Split LearningCode1
An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature SelectionCode1
ML-LBM: Machine Learning Aided Flow Simulation in Porous MediaCode1
Tensor Networks for Medical Image ClassificationCode1
Roundtrip: A Deep Generative Neural Density EstimatorCode1
GEVO: GPU Code Optimization using Evolutionary ComputationCode1
REVISE: A Tool for Measuring and Mitigating Bias in Visual DatasetsCode1
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology ImagesCode1
A Non-Parametric Test to Detect Data-Copying in Generative ModelsCode1
Satellite-based Prediction of Forage Conditions for Livestock in Northern KenyaCode1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
Deep Learning Based Text Classification: A Comprehensive ReviewCode1
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