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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5401–5425 of 10033 papers

TitleStatusHype
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning—0
Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop—0
Numerical Gaussian process Kalman filtering for spatiotemporal systems—0
Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches—0
NURBS-Diff: A Differentiable Programming Module for NURBS—0
Nystrom Method for Approximating the GMM Kernel—0
Object Detection in Satellite Imagery using 2-Step Convolutional Neural Networks—0
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends—0
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models—0
Observing the Population Dynamics in GE by means of the Intrinsic Dimension—0
Occupancy Detection in Room Using Sensor Data—0
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation—0
Offensive Video Detection: Dataset and Baseline Results—0
Offline Handwritten Recognition of Malayalam District Name - A Holistic Approach—0
OL4EL: Online Learning for Edge-cloud Collaborative Learning on Heterogeneous Edges with Resource Constraints—0
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack—0
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning—0
OmniLytics: A Blockchain-based Secure Data Market for Decentralized Machine Learning—0
On a class of geodesically convex optimization problems solved via Euclidean MM methods—0
On a correlational clustering of integers—0
On a Link Between Kernel Mean Maps and Fraunhofer Diffraction, with an Application to Super-Resolution Beyond the Diffraction Limit—0
On a scalable entropic breaching of the overfitting barrier in machine learning—0
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning—0
On-board Fault Diagnosis of a Laboratory Mini SR-30 Gas Turbine Engine—0
On Bootstrapping Machine Learning Performance Predictors via Analytical Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified