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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 81–90 of 10033 papers

TitleStatusHype
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Graph Data Augmentation for Graph Machine Learning: A SurveyCode2
Attacking and Defending Machine Learning Applications of Public CloudCode2
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast GradientsCode2
A Tensor Compiler for Unified Machine Learning Prediction ServingCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data ScienceCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified