SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8701–8725 of 10033 papers

TitleStatusHype
A systematic study of the class imbalance problem in convolutional neural networksCode0
Robust Decentralized Learning Using ADMM with Unreliable Agents—0
Performance Comparison of Intrusion Detection Systems and Application of Machine Learning to Snort System—0
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for PredictionCode0
Machine Learning by Unitary Tensor Network of Hierarchical Tree StructureCode0
Two-stage Algorithm for Fairness-aware Machine Learning—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer—0
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial—0
On Formalizing Fairness in Prediction with Machine Learning—0
Considerations of automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure—0
Random Projection and Its Applications—0
Structural Feature Selection for Event Logs—0
Machine Learning for Drug Overdose Surveillance—0
Generating Nontrivial Melodies for Music as a Service—0
Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method—0
Iterative Machine Learning for Precision Trajectory Tracking with Series Elastic Actuators—0
Machine Learning Based Detection of Clickbait Posts in Social Media—0
Primal-Dual Optimization Algorithms over Riemannian Manifolds: an Iteration Complexity Analysis—0
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy—0
Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNetCode0
Quantitative Evaluation of Confidence Measures in a Machine Learning World—0
Decontamination of Mutual Contamination Models—0
Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case—0
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified