SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4701–4725 of 10033 papers

TitleStatusHype
PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites—0
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening—0
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition—0
Supervised learning on heterogeneous, attributed entities interacting over time—0
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing—0
Machine Learning in Population and Public Health—0
An Interpretable Probabilistic Approach for Demystifying Black-box Predictive Models—0
A Gradient-based Bilevel Optimization Approach for Tuning Hyperparameters in Machine Learning—0
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning—0
Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning—0
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop—0
Incentives for Federated Learning: a Hypothesis Elicitation Approach—0
How Does Data Augmentation Affect Privacy in Machine Learning?Code0
Anomaly Awareness—0
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation—0
Unsupervised anomaly detection for discrete sequence healthcare data—0
Supervised Learning Using a Dressed Quantum Network with "Super Compressed Encoding": Algorithm and Quantum-Hardware-Based Implementation—0
Electre Tree A Machine Learning Approach to Infer Electre Tri B ParametersCode0
Revisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration—0
DeepNNK: Explaining deep models and their generalization using polytope interpolationCode0
Machine Learning approach for Credit Scoring—0
A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks—0
Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics—0
Quantum ensemble of trained classifiers—0
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified