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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 111–120 of 10033 papers

TitleStatusHype
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
A flow-based IDS using Machine Learning in eBPFCode1
A graph representation of molecular ensembles for polymer property predictionCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
Auto-differentiable Ensemble Kalman FiltersCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Against All Odds: Winning the Defense Challenge in an Evasion Competition with DiversificationCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
Adversarial Machine Learning: Bayesian PerspectivesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified