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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 76–100 of 10033 papers

TitleStatusHype
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsCode2
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
Advbox: a toolbox to generate adversarial examples that fool neural networksCode2
Advances and Open Problems in Federated LearningCode2
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
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
Self-Normalizing Neural NetworksCode2
A Review of Relational Machine Learning for Knowledge GraphsCode2
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
Making a Spiking Net Work: Robust brain-like unsupervised machine learningCode1
Atomic structure generation from reconstructing structural fingerprintsCode1
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine LearningCode1
Lifelong Machine Learning of Functionally Compositional StructuresCode1
Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision LearningCode1
Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep ScoringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified