SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 201225 of 10033 papers

TitleStatusHype
Scalable Machine Learning Architecture for Neonatal Seizure Detection on Ultra-Edge DevicesCode1
Naive Automated Machine LearningCode1
NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine LearningCode1
Interpreting Machine Learning Models for Room Temperature Prediction in Non-domestic BuildingsCode1
KML: Using Machine Learning to Improve Storage SystemsCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
SMACE: A New Method for the Interpretability of Composite Decision SystemsCode1
HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU DataCode1
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine LearningCode1
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine LearningCode1
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data PipelinesCode1
Patent Sentiment Analysis to Highlight Patent ParagraphsCode1
A Unified View of Relational Deep Learning for Drug Pair ScoringCode1
Mixed-Integer Optimization with Constraint LearningCode1
ReSkin: versatile, replaceable, lasting tactile skinsCode1
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningCode1
Bridging the gap to real-world for network intrusion detection systems with data-centric approachCode1
mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in RCode1
Quantum machine learning beyond kernel methodsCode1
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulenceCode1
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output LabelsCode1
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
A Data-Centric Optimization Framework for Machine LearningCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic OptimizationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified