SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 226250 of 10033 papers

TitleStatusHype
Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence CaseCode1
An Intuitive Tutorial to Gaussian Process RegressionCode1
DeltaGrad: Rapid retraining of machine learning modelsCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
An Introduction to Deep Reinforcement LearningCode1
Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetCode1
Anomaly Detection in Emails using Machine Learning and Header InformationCode1
A comparative study of fairness-enhancing interventions in machine learningCode1
A Non-Parametric Test to Detect Data-Copying in Generative ModelsCode1
Detecting Hateful Memes Using a Multimodal Deep EnsembleCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep LearningCode1
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort studyCode1
Applied Federated Learning: Improving Google Keyboard Query SuggestionsCode1
Apache Submarine: A Unified Machine Learning Platform Made SimpleCode1
Differentially Private Graph Classification with GNNsCode1
Differentially Private Learning Needs Better Features (or Much More Data)Code1
Dendrite Net: A White-Box Module for Classification, Regression, and System IdentificationCode1
Enhanced spatio-temporal electric load forecasts using less data with active deep learningCode1
Dimensionless machine learning: Imposing exact units equivarianceCode1
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning StudyCode1
Distributed-Memory Sparse Kernels for Machine LearningCode1
Distributed Representations of Atoms and Materials for Machine LearningCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified