SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 7180 of 10033 papers

TitleStatusHype
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
Frugal Optimization for Cost-related HyperparametersCode2
Designing Inherently Interpretable Machine Learning ModelsCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified