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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 1551–1600 of 10033 papers

TitleStatusHype
A simple equivariant machine learning method for dynamics based on scalarsCode1
Darts: User-Friendly Modern Machine Learning for Time Series—0
Detecting Autism Spectrum Disorders with Machine Learning Models Using Speech Transcripts—0
Ship Performance Monitoring using Machine-learning—0
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models—0
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random ForestsCode1
FOD-A: A Dataset for Foreign Object Debris in AirportsCode1
Tribuo: Machine Learning with Provenance in JavaCode2
Scaling Up Machine Learning For Quantum Field Theory with Equivariant Continuous Flows—0
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development—0
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance ComputingCode1
Post-hoc Models for Performance Estimation of Machine Learning Inference—0
Data-Centric AI Requires Rethinking Data Notion—0
Shapley variable importance clouds for interpretable machine learningCode1
Causal Explanations of Structural Causal Models—0
A Systematic Survey of Blockchained Federated Learning—0
Quantum Semi-Supervised Learning with Quantum Supremacy—0
Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?Code0
Enhancing Computational Fluid Dynamics with Machine Learning—0
Applying Machine Learning to Study Fluid Mechanics—0
Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach—0
Stochastic tensor space feature theory with applications to robust machine learning—0
A Machine Learning Approach for Employee Retention PredictionCode0
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement PredictionCode1
Automating Privilege Escalation with Deep Reinforcement Learning—0
Differentiable Spline Approximations—0
Benchmarking Safety Monitors for Image Classifiers with Machine LearningCode0
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Scaling Graph-based Deep Learning models to larger networks—0
RASL: Relational Algebra in Scikit-Learn Pipelines—0
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication—0
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk ControlCode1
Induction, Popper, and machine learning—0
Implementation of MPPT Technique of Solar Module with Supervised Machine Learning—0
Surrogate-Based Black-Box Optimization Method for Costly Molecular PropertiesCode1
DRP-VEM: Drug repositioning prediction using voting ensemble—0
Machine learning models for prediction of droplet collision outcomes—0
New Evolutionary Computation Models and their Applications to Machine LearningCode1
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification—0
Leveraging power grid topology in machine learning assisted optimal power flowCode0
A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data—0
A survey on datasets for fairness-aware machine learningCode1
Discovering Boundary Values of Feature-based Machine Learning Classifiers through Exploratory Datamorphic Testing—0
On the complexity of the optimal transport problem with graph-structured cost—0
Under the Microscope: Interpreting Readability Assessment Models for Filipino—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
Inexact bilevel stochastic gradient methods for constrained and unconstrained lower-level problemsCode0
Contraction-Based Methods for Stable Identification and Robust Machine Learning: a Tutorial—0
Multi-Agent Algorithmic Recourse—0
Mulberry Leaf Yield Prediction Using Machine Learning Techniques—0
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Benchmark Results

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1Fb232account and password 100—Unverified