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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 71–80 of 10033 papers

TitleStatusHype
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
Frugal Optimization for Cost-related HyperparametersCode2
Advances and Open Problems in Federated LearningCode2
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
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified