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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 51–100 of 10033 papers

TitleStatusHype
Monitoring and explainability of models in productionCode2
TensorFlow Quantum: A Software Framework for Quantum Machine LearningCode2
A Review of Relational Machine Learning for Knowledge GraphsCode2
The Adverse Effects of Code Duplication in Machine Learning Models of CodeCode2
Scale-invariant Learning by Physics InversionCode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
Tribuo: Machine Learning with Provenance in JavaCode2
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and ComparisonsCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
Implementation of an Automated Learning System for Non-expertsCode2
Graph Data Augmentation for Graph Machine Learning: A SurveyCode2
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast GradientsCode2
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data ScienceCode2
Preserving Causal Constraints in Counterfactual Explanations for Machine Learning ClassifiersCode2
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
Advances and Open Problems in Federated LearningCode2
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specificationCode2
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning IntegrationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
Advbox: a toolbox to generate adversarial examples that fool neural networksCode2
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning ModelsCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in PythonCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event DataCode2
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020Code2
Learning to correct spectral methods for simulating turbulent flowsCode2
Frugal Optimization for Cost-related HyperparametersCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
Designing Inherently Interpretable Machine Learning ModelsCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksCode2
Deep Learning for Time Series Forecasting: Tutorial and Literature SurveyCode2
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and PracticeCode2
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
A Survey of Privacy Attacks in Machine LearningCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
A survey on datasets for fairness-aware machine learningCode1
Open Source Software for Efficient and Transparent ReviewsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified