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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 171–180 of 10033 papers

TitleStatusHype
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
AutoGL: A Library for Automated Graph LearningCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
A flow-based IDS using Machine Learning in eBPFCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
Automating In-Network Machine LearningCode1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
Adversarial Machine Learning: Bayesian PerspectivesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified