SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5351–5375 of 10033 papers

TitleStatusHype
Federated Optimization: Distributed Machine Learning for On-Device Intelligence—0
Federated Quantum Machine Learning—0
Federated Two-stage Learning with Sign-based Voting—0
FedMe: Federated Learning via Model Exchange—0
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification—0
FedSyn: Synthetic Data Generation using Federated Learning—0
Feedback-Based Dynamic Feature Selection for Constrained Continuous Data Acquisition—0
Feeling Anxious? Perceiving Anxiety in Tweets using Machine Learning—0
Few-Features Attack to Fool Machine Learning Models through Mask-Based GAN—0
Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links—0
Field Label Prediction for Autofill in Web Browsers—0
Fighting Money Laundering with Statistics and Machine Learning—0
A machine learning approach for fighting the curse of dimensionality in global optimization—0
Filtering Aggression from the Multilingual Social Media Feed—0
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning—0
Filter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark—0
Financial Applications of Gaussian Processes and Bayesian Optimization—0
Financial Event Extraction Using Wikipedia-Based Weak Supervision—0
Financial Markets Prediction with Deep Learning—0
Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods—0
Financial series prediction using Attention LSTM—0
Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning—0
Finding Common Characteristics Among NBA Playoff and Championship Teams: A Machine Learning Approach—0
Finding Structure in Figurative Language: Metaphor Detection with Topic-based Frames—0
Finding the best design parameters for optical nanostructures using reinforcement learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified