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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 651700 of 10033 papers

TitleStatusHype
Dynamic GPU Energy Optimization for Machine Learning Training WorkloadsCode1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
Leveraging Adversarial Examples to Quantify Membership Information LeakageCode1
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?Code1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series ClassificationCode1
Practical distributed quantum information processing with LOCCNetCode1
Dynamic Parameter Allocation in Parameter ServersCode1
LoopStack: a Lightweight Tensor Algebra Compiler StackCode1
MACEst: The reliable and trustworthy Model Agnostic Confidence EstimatorCode1
Machine learning accelerated computational fluid dynamicsCode1
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization SolversCode1
Benchmarking Econometric and Machine Learning Methodologies in NowcastingCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
Machine Learning Constructives and Local Searches for the Travelling Salesman ProblemCode1
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in RCode1
Double Machine Learning based Program Evaluation under UnconfoundednessCode1
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in PythonCode1
Behavioral Factors in Interactive Training of Text ClassifiersCode1
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
Machine learning modeling of family wide enzyme-substrate specificity screensCode1
Machine learning of solvent effects on molecular spectra and reactionsCode1
Machine Learning on Graphs: A Model and Comprehensive TaxonomyCode1
Machine Learning SensorsCode1
Machine Learning Simulates Agent-Based Model Towards PolicyCode1
A Machine Learning Benchmark for Facies ClassificationCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
A Multimodal Machine Learning Framework for Teacher Vocal Delivery EvaluationCode1
Bias in Automated Speaker RecognitionCode1
Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecastingCode1
Malware Classification Using Static Disassembly and Machine LearningCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Manthan: A Data Driven Approach for Boolean Function SynthesisCode1
Mapping Images to Psychological Similarity Spaces Using Neural NetworksCode1
Markpainting: Adversarial Machine Learning meets InpaintingCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
Brain Predictability toolbox: a Python library for neuroimaging based machine learningCode1
MeLIME: Meaningful Local Explanation for Machine Learning ModelsCode1
Born-Again Tree EnsemblesCode1
Advantages and Bottlenecks of Quantum Machine Learning for Remote SensingCode1
Bridging the gap to real-world for network intrusion detection systems with data-centric approachCode1
DriveML: An R Package for Driverless Machine LearningCode1
Meta Dropout: Learning to Perturb Features for GeneralizationCode1
Effectiveness of Artificial Intelligence in Stock Market Prediction based on Machine LearningCode1
Mill.jl and JsonGrinder.jl: automated differentiable feature extraction for learning from raw JSON dataCode1
By-passing the Kohn-Sham equations with machine learningCode1
ML4Chem: A Machine Learning Package for Chemistry and Materials ScienceCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
A Model-Driven Approach to Machine Learning and Software Modeling for the IoTCode1
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