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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 751800 of 10033 papers

TitleStatusHype
An Intuitive Tutorial to Gaussian Process RegressionCode1
Molecular Contrastive Learning of Representations via Graph Neural NetworksCode1
Molecular machine learning with conformer ensemblesCode1
Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug DiscoveryCode1
Multi-class Gaussian Process Classification with Noisy InputsCode1
Multi-Objective Evolutionary Design of Composite Data-Driven ModelsCode1
Multitask learning and benchmarking with clinical time series dataCode1
Myriad: a real-world testbed to bridge trajectory optimization and deep learningCode1
An MPI-Based Python Framework for Distributed Training with KerasCode1
NetKet 3: Machine Learning Toolbox for Many-Body Quantum SystemsCode1
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public TrainingCode1
Neural Additive Models: Interpretable Machine Learning with Neural NetsCode1
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness TensorsCode1
Neural-PDE: A RNN based neural network for solving time dependent PDEsCode1
New Evolutionary Computation Models and their Applications to Machine LearningCode1
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing DataCode1
An Empirical Study of Personalized Federated LearningCode1
OmiEmbed: a unified multi-task deep learning framework for multi-omics dataCode1
An integrated Auto Encoder-Block Switching defense approach to prevent adversarial attacksCode1
Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label NoiseCode1
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden ContributorsCode1
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation SystemsCode1
On Intrinsic Dataset Properties for Adversarial Machine LearningCode1
Online Portfolio Selection: A SurveyCode1
OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit SynthesisCode1
Open challenges for Machine Learning based Early Decision-Making researchCode1
Optimal binning: mathematical programming formulationCode1
Optimal Counterfactual Explanations for Scorecard modellingCode1
Optimization for Classical Machine Learning Problems on the GPUCode1
Optimizing Quantum Variational Circuits with Deep Reinforcement LearningCode1
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty EstimationCode1
Out of Distribution Generalization in Machine LearningCode1
An Introduction to Deep Reinforcement LearningCode1
Annotationsaurus: A Searchable Directory of Annotation ToolsCode1
Applied Federated Learning: Improving Google Keyboard Query SuggestionsCode1
Persformer: A Transformer Architecture for Topological Machine LearningCode1
Phishing Detection Using Machine Learning TechniquesCode1
Open Source Software for Efficient and Transparent ReviewsCode1
Adversarial Machine Learning: Bayesian PerspectivesCode1
Physics guided machine learning using simplified theoriesCode1
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
Physics Informed Neural Networks for Simulating Radiative TransferCode1
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsCode1
Pixel VQ-VAEs for Improved Pixel Art RepresentationCode1
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and RepairCode1
PMLB v1.0: An open source dataset collection for benchmarking machine learning methodsCode1
PointHop: An Explainable Machine Learning Method for Point Cloud ClassificationCode1
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?Code1
Automating In-Network Machine LearningCode1
Cyberbullying Detection with Fairness ConstraintsCode1
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Benchmark Results

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