SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 88768900 of 10033 papers

TitleStatusHype
Classification of anomalous gait using Machine Learning techniques and embedded sensorsCode0
Semantic Code Classification for Automated Machine LearningCode0
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless NetworksCode0
Automated Problem Identification: Regression vs Classification via Evolutionary Deep NetworksCode0
Improving Certified Robustness via Statistical Learning with Logical ReasoningCode0
Achieving Model Fairness in Vertical Federated LearningCode0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
Automated Machine Learning: State-of-The-Art and Open ChallengesCode0
Random Machines Regression Approach: an ensemble support vector regression model with free kernel choiceCode0
An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment ContextCode0
ML-CB: Machine Learning Canvas BlockCode0
LIRS: Enabling efficient machine learning on NVM-based storage via a lightweight implementation of random shufflingCode0
Federated Machine Learning: Concept and ApplicationsCode0
ViCE: Visual Counterfactual Explanations for Machine Learning ModelsCode0
Classification Auto-Encoder based Detector against Diverse Data Poisoning AttacksCode0
Federated Multi-Task LearningCode0
chemmodlab: A Cheminformatics Modeling Laboratory for Fitting and Assessing Machine Learning ModelsCode0
Semantics derived automatically from language corpora contain human-like biasesCode0
Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials propertiesCode0
ENCODE: Encoding NetFlows for Network Anomaly DetectionCode0
Charting and navigating the space of solutions for recurrent neural networksCode0
Emotion Transfer Using Vector-Valued Infinite Task LearningCode0
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted SettingCode0
Semantic Workflows and Machine Learning for the Assessment of Carbon Storage by Urban TreesCode0
FEDZIP: A Compression Framework for Communication-Efficient Federated LearningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified