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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9926–9950 of 10033 papers

TitleStatusHype
Optimization for Large-Scale Machine Learning with Distributed Features and ObservationsCode0
Towards Unbiased and Accurate Deferral to Multiple ExpertsCode0
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum PhysicsCode0
Optimization Methods for Large-Scale Machine LearningCode0
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose RefinementCode0
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysisCode0
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep LearningCode0
Standing on the Shoulders of Machine Learning: Can We Improve Hypothesis Testing?Code0
Machine learning with neural networksCode0
StarcNet: Machine Learning for Star Cluster IdentificationCode0
Machine Learning Techniques to Construct Patched Analog Ensembles for Data AssimilationCode0
Artifact Identification in X-ray Diffraction Data using Machine Learning MethodsCode0
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelinesCode0
JAX MD: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure PythonCode0
Deep Residual Mixture ModelsCode0
Jensen: An Easily-Extensible C++ Toolkit for Production-Level Machine Learning and Convex OptimizationCode0
Star-galaxy Classification Using Deep Convolutional Neural NetworksCode0
A Distributed Fair Machine Learning Framework with Private Demographic Data ProtectionCode0
Quantifying identifiability to choose and audit ε in differentially private deep learningCode0
Stateful Detection of Model Extraction AttacksCode0
Quantifying Interpretability and Trust in Machine Learning SystemsCode0
Machine Learning the Phenomenology of COVID-19 From Early Infection DynamicsCode0
ART: Abstraction Refinement-Guided Training for Provably Correct Neural NetworksCode0
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher DiscriminatorsCode0
JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesisCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified