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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 2376–2400 of 10033 papers

TitleStatusHype
Classifying variety of customer's online engagement for churn prediction with mixed-penalty logistic regression—0
Survival prediction of head and neck squamous cell carcinoma using machine learning models—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
Are Convolutional Neural Networks or Transformers more like human vision?Code1
Quantified Sleep: Machine learning techniques for observational n-of-1 studiesCode1
How to effectively use machine learning models to predict the solutions for optimization problems: lessons from loss function—0
Sparsity-Probe: Analysis tool for Deep Learning Models—0
Long Short-term Memory RNN—0
Profitable Strategy Design for Trades on Cryptocurrency Markets with Machine Learning Techniques—0
Post-processing Multi-Model Medium-Term Precipitation Forecasts Using Convolutional Neural Networks—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research—0
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches—0
Feature Interactions on Steroids: On the Composition of ML Models—0
An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy SettingsCode0
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials—0
Leveraging Non-uniformity in First-order Non-convex Optimization—0
Explainable Machine Learning for Fraud Detection—0
Addressing Fairness, Bias and Class Imbalance in Machine Learning: the FBI-lossCode0
Machine-learning-based investigation on classifying binary and multiclass behavior outcomes of children with PIMD/SMID—0
Machine learning moment closure models for the radiative transfer equation I: directly learning a gradient based closure—0
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs—0
Automating Data Science: Prospects and Challenges—0
A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks—0
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning WorkloadsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified