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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 2101–2150 of 10033 papers

TitleStatusHype
Compositional federated learning: Applications in distributionally robust averaging and meta learning—0
Graceful Degradation and Related Fields—0
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques—0
Machine learning in the social and health sciences—0
Quantum Machine Learning: Fad or Future?—0
A compressive multi-kernel method for privacy-preserving machine learning—0
TinyML: Analysis of Xtensa LX6 microprocessor for Neural Network Applications by ESP32 SoC—0
Representations and Strategies for Transferable Machine Learning Models in Chemical Discovery—0
Automated Deepfake Detection—0
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation SystemsCode1
Plant Disease Detection Using Image Processing and Machine LearningCode1
Gradient-Based Algorithms for Machine Teaching—0
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
Prediction of the facial growth direction with Machine Learning methods—0
Score-Based Explanations in Data Management and Machine Learning: An Answer-Set Programming Approach to Counterfactual Analysis—0
The Dimpled Manifold Model of Adversarial Examples in Machine Learning—0
Performance Evaluation of Classification Models for Household Income, Consumption and Expenditure Data Set—0
Predicting Gender by First Name Using Character-level Machine LearningCode0
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional ComputingCode0
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in PythonCode1
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparisonCode0
Knowledge Graphs and Machine Learning in biased C4I applications—0
Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators—0
Interpretable Machine Learning Classifiers for Brain Tumour Survival Prediction—0
Importance measures derived from random forests: characterisation and extension—0
Comparison of Outlier Detection Techniques for Structured Data—0
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning—0
Covariance-based smoothed particle hydrodynamics. A machine-learning application to simulating disc fragmentation—0
Improving Inference Lifetime of Neuromorphic Systems via Intelligent Synapse Mapping—0
Developing a Fidelity Evaluation Approach for Interpretable Machine LearningCode0
Comparison of Automated Machine Learning Tools for SMS Spam Message FilteringCode0
Classification of Documents Extracted from Images with Optical Character Recognition Methods—0
Machine Learning for Postprocessing Ensemble Streamflow Forecasts—0
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey—0
Machine learning-based analysis of hyperspectral images for automated sepsis diagnosis—0
Compression Implies Generalization—0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection—0
Deep Reinforcement Learning for Conservation DecisionsCode1
Evading Malware Classifiers via Monte Carlo Mutant Feature DiscoveryCode0
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks—0
S-LIME: Stabilized-LIME for Model ExplanationCode1
Counterfactual Explanations for Machine Learning: Challenges Revisited—0
Launching into clinical space with medspaCy: a new clinical text processing toolkit in PythonCode1
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network—0
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence FunctionsCode0
Machine Learning for Variance Reduction in Online Experiments—0
Variational Quanvolutional Neural Networks with enhanced image encodingCode1
Full interpretable machine learning in 2D with inline coordinates—0
Discovering Interpretable Machine Learning Models in Parallel Coordinates—0
Machine Learning Implicit Solvation for Molecular Dynamics—0
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Benchmark Results

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