SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2551–2575 of 10033 papers

TitleStatusHype
LEx: A Framework for Operationalising Layers of Machine Learning Explanations—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
Higgs analysis with quantum classifiers—0
Geometry encoding for numerical simulationsCode0
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021—0
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management—0
Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis—0
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation—0
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection—0
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning ModelsCode1
mlf-core: a framework for deterministic machine learningCode1
Modelling the COVID-19 virus evolution with Incremental Machine LearningCode0
A comparative study of Different Machine Learning Regressors For Stock Market Prediction—0
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector—0
Neural population geometry: An approach for understanding biological and artificial neural networks—0
Defending Against Adversarial Denial-of-Service Data Poisoning Attacks—0
Multi-Party Dual Learning—0
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate ModelingCode1
GPU Semiring Primitives for Sparse Neighborhood MethodsCode1
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attackCode0
AutoOED: Automated Optimal Experiment Design PlatformCode1
Distilling Wikipedia mathematical knowledge into neural network models—0
A High-fidelity, Machine-learning Enhanced Queueing Network Simulation Model for Hospital Ultrasound Operations—0
Real-time Forecast Models for TBM Load Parameters Based on Machine Learning Methods—0
Machine Learning Approach to Uncovering Residential Energy Consumption Patterns Based on Socioeconomic and Smart Meter Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified