SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6626–6650 of 10033 papers

TitleStatusHype
Sequence-to-sequence models for workload interference—0
Sequential Automated Machine Learning: Bandits-driven Exploration using a Collaborative Filtering Representation—0
Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data—0
Sequential hypothesis testing in machine learning, and crude oil price jump size detection—0
Sequential IoT Data Augmentation using Generative Adversarial Networks—0
Serverless inferencing on Kubernetes—0
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures—0
SetConv: A New Approach for Learning from Imbalanced Data—0
Set-to-Sequence Methods in Machine Learning: a Review—0
Seven Myths in Machine Learning Research—0
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them—0
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption—0
Shai-am: A Machine Learning Platform for Investment Strategies—0
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey—0
Shallow Art: Art Extension Through Simple Machine Learning—0
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning—0
Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship—0
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks—0
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning—0
Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach—0
Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection—0
SHE2: Stochastic Hamiltonian Exploration and Exploitation for Derivative-Free Optimization—0
SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation—0
Shear Stress Distribution Prediction in Symmetric Compound Channels Using Data Mining and Machine Learning Models—0
Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified