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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 4351–4400 of 10033 papers

TitleStatusHype
Learning Representations for Axis-Aligned Decision Forests through Input Perturbation—0
Adversarial Robustness for Machine Learning Cyber Defenses Using Log Data—0
Decoding machine learning benchmarksCode0
A Development Cycle for Automated Self-Exploration of Robot Behaviors—0
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image AnalysisCode0
A Generative Machine Learning-Based Approach for Inverse Design of Multilayer Metasurfaces—0
Supervised Machine Learning Techniques: An Overview with Applications to Banking—0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing—0
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms—0
Towards Ecologically Valid Research on Language User Interfaces—0
Detecting and analysing spontaneous oral cancer speech in the wildCode0
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning—0
Attacking and Defending Machine Learning Applications of Public CloudCode2
A Machine Learning Approach to Online Fault Classification in HPC Systems—0
CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19—0
FedML: A Research Library and Benchmark for Federated Machine LearningCode2
Differentiable model-based adaptive optics with transmitted and reflected light—0
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships—0
NAYEL at SemEval-2020 Task 12: TF/IDF-Based Approach for Automatic Offensive Language Detection in Arabic Tweets—0
Predicting Nonlinear Seismic Response of Structural Braces Using Machine Learning—0
Bounded Fuzzy Possibilistic Method of Critical Objects Processing in Machine Learning—0
Fast-Convergent Federated Learning—0
Anonymizing Machine Learning ModelsCode1
Bid Prediction in Repeated Auctions with Learning—0
Comparison of Machine Learning Methods for Predicting Karst Spring Discharge in North China—0
Towards Game Design via Creative Machine Learning (GDCML)—0
A Novel Approach to the Diagnosis of Heart Disease using Machine Learning and Deep Neural Networks—0
Score-Based Explanations in Data Management and Machine Learning—0
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks—0
Artificial Intelligence in the Creative Industries: A Review—0
Machine Learning Explanations to Prevent Overtrust in Fake News Detection—0
PecanPy: A parallelized, efficient, and accelerated node2vec in PythonCode1
mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam AlignmentCode0
MLJ: A Julia package for composable machine learningCode2
Quantum Differentially Private Sparse Regression Learning—0
A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep LearningCode1
AI4D -- African Language Dataset Challenge—0
Fragments-Expert: A Graphical User Interface MATLAB Toolbox for Classification of File Fragments—0
Supervised learning on heterogeneous, attributed entities interacting over time—0
IBM Federated Learning: an Enterprise Framework White Paper V0.1Code1
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective—0
Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites—0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition—0
Robust Machine Learning via Privacy/Rate-Distortion Theory—0
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing—0
When Classical Chinese Meets Machine Learning: Explaining the Relative Performances of Word and Sentence Segmentation Tasks—0
Coarse Graining Molecular Dynamics with Graph Neural NetworksCode1
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Benchmark Results

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