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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2351–2400 of 10033 papers

TitleStatusHype
Replacing the Ex-Def Baseline in AutoML by Naive AutoML—0
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets—0
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion DetectionCode1
Model Compression—0
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors—0
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network—0
Measuring Coding Challenge Competence With APPSCode2
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning—0
Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes—0
AI-Decision Support System Interface Using Cancer Related Data for Lung Cancer Prognosis—0
Analyzing Machine Learning Approaches for Online Malware Detection in Cloud—0
Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON dataCode1
Deep learning for solution and inversion of structural mechanics and vibrations—0
Quantifying sources of uncertainty in drug discovery predictions with probabilistic modelsCode1
Optimal radial basis for density-based atomic representations—0
Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulationCode0
Conformal Prediction using Conditional HistogramsCode1
Machine learning on knowledge graphs for context-aware security monitoringCode1
Machine Learning in weakly nonlinear systems: A Case study on Significant wave heights—0
Towards Demystifying Serverless Machine Learning TrainingCode1
Automated Biodesign Engineering by Abductive Meta-Interpretive Learning—0
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic ScenariosCode0
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species—0
Algorithm-Agnostic Explainability for Unsupervised ClusteringCode0
Power-grid stability predictions using transferable machine learningCode0
Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression—0
Survival prediction of head and neck squamous cell carcinoma using machine learning models—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
Are Convolutional Neural Networks or Transformers more like human vision?Code1
Quantified Sleep: Machine learning techniques for observational n-of-1 studiesCode1
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function—0
Sparsity-Probe: Analysis tool for Deep Learning Models—0
Long Short-term Memory RNN—0
Profitable Strategy Design for Trades on Cryptocurrency Markets with Machine Learning Techniques—0
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research—0
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches—0
Feature Interactions on Steroids: On the Composition of ML Models—0
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy SettingsCode0
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials—0
Leveraging Non-uniformity in First-order Non-convex Optimization—0
Explainable Machine Learning for Fraud Detection—0
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-lossCode0
Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID—0
Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure—0
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs—0
Automating Data Science: Prospects and Challenges—0
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks—0
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning WorkloadsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified