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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 8190 of 10033 papers

TitleStatusHype
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Towards Automatically-Tuned Deep Neural NetworksCode2
The Adverse Effects of Code Duplication in Machine Learning Models of CodeCode2
PennyLane: Automatic differentiation of hybrid quantum-classical computationsCode2
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning ModelsCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified