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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 6901–6925 of 10033 papers

TitleStatusHype
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward—0
Categorization of Program Regions for Agile Compilation using Machine Learning and Hardware Support—0
Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll a Concentration of Several Inland Waters—0
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approachCode0
MaxiMin Active Learning in Overparameterized Model Classes—0
A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems—0
A Topology Layer for Machine LearningCode0
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization—0
Validating the Validation: Reanalyzing a large-scale comparison of Deep Learning and Machine Learning models for bioactivity predictionCode0
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers—0
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set—0
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics—0
Machine Learning on data with sPlot background subtractionCode0
Job Recommendation through Progression of Job Selection—0
Practical and Consistent Estimation of f-Divergences—0
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting—0
Machine Learning for Fluid Mechanics—0
Style transfer-based image synthesis as an efficient regularization technique in deep learning—0
Usage of multiple RTL features for Earthquake prediction—0
Deep Online Learning with Stochastic Constraints—0
Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks—0
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions—0
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders—0
An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric RetrievalCode0
Federated Forest—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified