SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 1–25 of 10033 papers

TitleStatusHype
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networksCode1
(1,1)-Cluster Editing is Polynomial-time Solvable—0
A Lightweight Machine Learning Pipeline for LiDAR-simulation—0
Machine Learning and Bioinformatics for Diagnosis Analysis of Obesity Spectrum Disorders—0
Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects—0
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity—0
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021—0
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption—0
Neural network accelerator for quantum controlCode0
Evolutionary bagging for ensemble learningCode0
Design of secure and robust cognitive system for malware detection—0
Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles—0
Machine learning optimization of Majorana hybrid nanowires—0
Active Learning on a Programmable Photonic Quantum Processor—0
Unravelling Interlanguage Facts via Explainable Machine Learning—0
Making a Spiking Net Work: Robust brain-like unsupervised machine learningCode1
Flood Prediction Using Machine Learning Models—0
Deep Reinforcement Learning for Multi-Agent InteractionCode2
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling—0
BPMN4sML: A BPMN Extension for Serverless Machine Learning. Technology Independent and Interoperable Modeling of Machine Learning Workflows and their Serverless Deployment Orchestration—0
What can we Learn by Predicting Accuracy?—0
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)—0
Physics-informed Machine Learning of Parameterized Fundamental Diagrams—0
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine LearningCode0
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified