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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 126–150 of 10033 papers

TitleStatusHype
GAN-Aimbots: Using Machine Learning for Cheating in First Person ShootersCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent SurfacesCode1
Benchmarking Econometric and Machine Learning Methodologies in NowcastingCode1
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulationCode1
Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataCode1
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning ResearchCode1
LoopStack: a Lightweight Tensor Algebra Compiler StackCode1
Standardized Evaluation of Machine Learning Methods for Evolving Data StreamsCode1
Open challenges for Machine Learning based Early Decision-Making researchCode1
Data Debugging with Shapley Importance over End-to-End Machine Learning PipelinesCode1
Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph NetworksCode1
On Parametric Optimal Execution and Machine Learning SurrogatesCode1
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake SystemCode1
Characterizing metastable states with the help of machine learningCode1
A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine LearningCode1
Too Big to Fail? Active Few-Shot Learning Guided Logic SynthesisCode1
Production of Categorical Data Verifying Differential Privacy: Conception and Applications to Machine LearningCode1
Dimensionless machine learning: Imposing exact units equivarianceCode1
Optimization for Classical Machine Learning Problems on the GPUCode1
LogicInference: A New Dataset for Teaching Logical Inference to seq2seq ModelsCode1
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness TensorsCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
Pixel VQ-VAEs for Improved Pixel Art RepresentationCode1
Anomaly Detection in Emails using Machine Learning and Header InformationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified