SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 60016025 of 10033 papers

TitleStatusHype
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder0
Understand customer reviews with less data and in short time: pretrained language representation and active learning0
A Richly Annotated Corpus for Different Tasks in Automated Fact-CheckingCode0
Predicting Rainfall using Machine Learning TechniquesCode0
Proactive Optimization with Machine Learning: Femto-caching with Future Content Popularity0
How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models0
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection0
Neural Density Estimation and Likelihood-free Inference0
Estimating Skin Tone and Effects on Classification Performance in Dermatology Datasets0
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction0
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications0
Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach0
Hyperbolic Graph Neural NetworksCode0
Quantum enhancements for deep reinforcement learning in large spacesCode0
Analytical classical density functionals from an equation learning networkCode0
A Study of Machine Learning Models in Predicting the Intention of Adolescents to Smoke Cigarettes0
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine LearningCode0
CXPlain: Causal Explanations for Model Interpretation under UncertaintyCode0
Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector0
Deep Learning for Hyperspectral Image Classification: An Overview0
Components of Machine Learning: Binding Bits and FLOPS0
Machine Translation from Natural Language to Code using Long-Short Term Memory0
Deep Reinforcement Learning for Synthesizing Functions in Higher-Order LogicCode0
Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning0
Integrating Machine Learning and Multiscale Modeling: Perspectives, Challenges, and Opportunities in the Biological, Biomedical, and Behavioral Sciences0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified