SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 276300 of 10033 papers

TitleStatusHype
A quantum algorithm for training wide and deep classical neural networksCode1
Auto-differentiable Ensemble Kalman FiltersCode1
You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open StackCode1
Transformer-based Machine Learning for Fast SAT Solvers and Logic SynthesisCode1
A Multimodal Machine Learning Framework for Teacher Vocal Delivery EvaluationCode1
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiersCode1
Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian EstimatesCode1
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platformCode1
A Model-Driven Approach to Machine Learning and Software Modeling for the IoTCode1
Shell Language Processing: Unix command parsing for Machine LearningCode1
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden ContributorsCode1
Shared Data and Algorithms for Deep Learning in Fundamental PhysicsCode1
Trees with Attention for Set Prediction TasksCode1
Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine LearningCode1
The Values Encoded in Machine Learning ResearchCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
Lettuce: PyTorch-based Lattice Boltzmann FrameworkCode1
Tensor networks for unsupervised machine learningCode1
Provably efficient machine learning for quantum many-body problemsCode1
Synthetic Benchmarks for Scientific Research in Explainable Machine LearningCode1
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapyCode1
Plant Disease Detection Using Image Processing and Machine LearningCode1
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation SystemsCode1
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in PythonCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified