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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 701750 of 10033 papers

TitleStatusHype
Fairness Measures for Regression via Probabilistic ClassificationCode1
Universal Differential Equations for Scientific Machine LearningCode1
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication SystemsCode1
Targeted sampling of enlarged neighborhood via Monte Carlo tree search for TSPCode1
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object TrackingCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones ClassificationCode1
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systemsCode1
Pseudo Random Number Generation: a Reinforcement Learning approachCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
Benchmarking machine learning models on multi-centre eICU critical care datasetCode1
Predicting materials properties without crystal structure: Deep representation learning from stoichiometryCode1
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingCode1
Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksCode1
FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and TransparencyCode1
Graph Convolutional Networks for Road NetworksCode1
Model Agnostic Defence against Backdoor Attacks in Machine LearningCode1
Machine Learning at the Network Edge: A SurveyCode1
PointHop: An Explainable Machine Learning Method for Point Cloud ClassificationCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
Making AI Forget You: Data Deletion in Machine LearningCode1
Financial Time Series Data Processing for Machine LearningCode1
Learning to Predict Robot Keypoints Using Artificially Generated ImagesCode1
Canonicalizing Knowledge Base LiteralsCode1
Evaluating Protein Transfer Learning with TAPECode1
Proposed Guidelines for the Responsible Use of Explainable Machine LearningCode1
Gradio: Hassle-Free Sharing and Testing of ML Models in the WildCode1
GIBBONFINDR: An R package for the detection and classification of acoustic signalsCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Risks from Learned Optimization in Advanced Machine Learning SystemsCode1
Meta Dropout: Learning to Perturb Features for GeneralizationCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
Adversarial Examples Are Not Bugs, They Are FeaturesCode1
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Text Classification Algorithms: A SurveyCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc InterpretabilityCode1
Data Shapley: Equitable Valuation of Data for Machine LearningCode1
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning SystemsCode1
Augmented Ultrasonic Data for Machine LearningCode1
Learning Fast Algorithms for Linear Transforms Using Butterfly FactorizationsCode1
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product ManipulationCode1
GNNExplainer: Generating Explanations for Graph Neural NetworksCode1
Evaluating Differentially Private Machine Learning in PracticeCode1
ParticleNet: Jet Tagging via Particle CloudsCode1
Towards Federated Learning at Scale: System DesignCode1
ProteinNet: a standardized data set for machine learning of protein structureCode1
Interpretable machine learning: definitions, methods, and applicationsCode1
A Machine Learning Benchmark for Facies ClassificationCode1
A Comprehensive Survey on Graph Neural NetworksCode1
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Benchmark Results

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