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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
Deep Learning for Time Series Forecasting: Tutorial and Literature SurveyCode2
TensorFlow Quantum: A Software Framework for Quantum Machine LearningCode2
The Adverse Effects of Code Duplication in Machine Learning Models of CodeCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
MLJ: A Julia package for composable machine learningCode2
Measuring Coding Challenge Competence With APPSCode2
Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and ComparisonsCode2
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty QuantificationCode2
OMLT: Optimization & Machine Learning ToolkitCode2
Machine Learning in Asset Management—Part 2: Portfolio Construction—Weight Optimization. The Journal of Financial Data ScienceCode2
An Introduction to Neural Data CompressionCode2
Learning to correct spectral methods for simulating turbulent flowsCode2
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast GradientsCode2
Implementation of an Automated Learning System for Non-expertsCode2
ktrain: A Low-Code Library for Augmented Machine LearningCode2
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation ApproachCode2
PyHealth: A Python Library for Health Predictive ModelsCode2
geomstats: a Python Package for Riemannian Geometry in Machine LearningCode2
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Geomstats: A Python Package for Riemannian Geometry in Machine LearningCode2
Explaining Machine Learning Classifiers through Diverse Counterfactual ExplanationsCode2
ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specificationCode2
Towards Backdoor Attacks and Defense in Robust Machine Learning ModelsCode2
EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning IntegrationCode2
Distribution-Free, Risk-Controlling Prediction SetsCode2
Fast inference of deep neural networks in FPGAs for particle physicsCode2
Foolbox: A Python toolbox to benchmark the robustness of machine learning modelsCode2
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesCode2
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in PythonCode2
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning DevicesCode2
Deep Reinforcement Learning for Multi-Agent InteractionCode2
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning ModelsCode2
CrypTen: Secure Multi-Party Computation Meets Machine LearningCode2
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction SequencesCode2
MACE: An Efficient Model-Agnostic Framework for Counterfactual ExplanationCode2
Machine Learning in Asset Management—Part 1: Portfolio Construction—Trading StrategiesCode2
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
Frugal Optimization for Cost-related HyperparametersCode2
Monitoring and explainability of models in productionCode2
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and PracticeCode2
Designing Inherently Interpretable Machine Learning ModelsCode2
Graph Data Augmentation for Graph Machine Learning: A SurveyCode2
Adversarial Robustness for CodeCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial NetworksCode1
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Benchmark Results

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1Fb232account and password 100—Unverified