SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 95019525 of 10033 papers

TitleStatusHype
Differentiable Computational Geometry for 2D and 3D machine learningCode0
A systematic study of the class imbalance problem in convolutional neural networksCode0
Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning AlgorithmsCode0
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution ProblemCode0
Numerical simulation, clustering and prediction of multi-component polymer precipitationCode0
Numeric Encoding Options with AutomungeCode0
Modular Block-diagonal Curvature Approximations for Feedforward ArchitecturesCode0
AMIDST: a Java Toolbox for Scalable Probabilistic Machine LearningCode0
nuts-flow/ml: data pre-processing for deep learningCode0
So2Sat POP -- A Curated Benchmark Data Set for Population Estimation from Space on a Continental ScaleCode0
HyperStream: a Workflow Engine for Streaming DataCode0
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide DataCode0
A pipeline and comparative study of 12 machine learning models for text classificationCode0
DiffEqFlux.jl - A Julia Library for Neural Differential EquationsCode0
Do Not Trust Additive ExplanationsCode0
Variational Information Maximisation for Intrinsically Motivated Reinforcement LearningCode0
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian ModelCode0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian ModelCode0
DICODerma: A practical approach for metadata management of images in dermatologyCode0
Objective discovery of dominant dynamical processes with intelligible machine learningCode0
AdaCliP: Adaptive Clipping for Private SGDCode0
BEFANA: A Tool for Biodiversity-Ecosystem Functioning Assessment by Network AnalysisCode0
Retrieval of Case 2 Water Quality Parameters with Machine LearningCode0
Identification of Chimera using Machine LearningCode0
Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified