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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8576–8600 of 10033 papers

TitleStatusHype
Score-oriented loss (SOL) functionsCode0
Manipulating and Measuring Model InterpretabilityCode0
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression LearningCode0
Paradoxes in Fair Machine LearningCode0
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsCode0
Comparative Sentiment Analysis of App ReviewsCode0
Learn&Fuzz: Machine Learning for Input FuzzingCode0
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance IndexCode0
Learning 3D Granular Flow SimulationsCode0
MANTRA: A Machine Learning reference lightcurve dataset for astronomical transient event recognitionCode0
LIBS2ML: A Library for Scalable Second Order Machine Learning AlgorithmsCode0
Committee neural network potentials control generalization errors and enable active learningCode0
Learning a Code: Machine Learning for Approximate Non-Linear Coded ComputationCode0
A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language ProcessingCode0
Learning Algebraic Structures: Preliminary InvestigationsCode0
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive VariablesCode0
Combining Stochastic Adaptive Cubic Regularization with Negative Curvature for Nonconvex OptimizationCode0
Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral DataCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Quantum-Inspired Hamiltonian Monte Carlo for Bayesian SamplingCode0
Learning an Optimally Reduced Formulation of OPF through Meta-optimizationCode0
Learning Augmented Energy Minimization via Speed ScalingCode0
SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine LearningCode0
An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed ElectrocardiogramsCode0
m-arcsinh: An Efficient and Reliable Function for SVM and MLP in scikit-learnCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified