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| Scaling up Kernel Ridge Regression via Locality Sensitive Hashing | Mar 21, 2020 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Scaling up the Automatic Statistician: Scalable Structure Discovery using Gaussian Processes | Jun 8, 2017 | Gaussian ProcessesModel Selection | —Unverified | 0 | 0 |
| SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting | Aug 10, 2019 | Crowd Countingregression | —Unverified | 0 | 0 |
| Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data | Jul 12, 2015 | Computational EfficiencyDiagnostic | —Unverified | 0 | 0 |
| Scene-agnostic Pose Regression for Visual Localization | Mar 25, 2025 | Image RetrievalMamba | —Unverified | 0 | 0 |
| Scene Coordinate and Correspondence Learning for Image-Based Localization | May 22, 2018 | Deep LearningImage-Based Localization | —Unverified | 0 | 0 |
| Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images | Jun 1, 2013 | Camera Relocalizationregression | —Unverified | 0 | 0 |
| Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization | Aug 15, 2018 | Camera Relocalizationregression | —Unverified | 0 | 0 |
| SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations | Apr 11, 2024 | Optical Flow Estimationregression | —Unverified | 0 | 0 |
| Scope Head for Accurate Localization in Object Detection | May 11, 2020 | Objectobject-detection | —Unverified | 0 | 0 |
| Scoring rule nets: beyond mean target prediction in multivariate regression | Sep 22, 2024 | Formregression | —Unverified | 0 | 0 |
| Scrambled Objects for Least-Squares Regression | Dec 1, 2010 | regression | —Unverified | 0 | 0 |
| Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition | Jul 8, 2016 | Image SegmentationMedical Image Segmentation | —Unverified | 0 | 0 |
| SCR: Smooth Contour Regression with Geometric Priors | Feb 8, 2022 | Instance SegmentationObject | —Unverified | 0 | 0 |
| SEANN: A Domain-Informed Neural Network for Epidemiological Insights | Jan 17, 2025 | Epidemiologyregression | —Unverified | 0 | 0 |
| Seasonally-Adjusted Auto-Regression of Vector Time Series | Nov 4, 2019 | regressionTime Series | —Unverified | 0 | 0 |
| Second-Order Bounds for [0,1]-Valued Regression via Betting Loss | Jul 16, 2025 | Distributional Reinforcement Learningregression | —Unverified | 0 | 0 |
| Second-order regression models exhibit progressive sharpening to the edge of stability | Oct 10, 2022 | regression | —Unverified | 0 | 0 |
| Secret Sharing based Secure Regressions with Applications | Apr 10, 2020 | regression | —Unverified | 0 | 0 |
| Secrets in Computing Optical Flow by Convolutional Networks | Oct 4, 2017 | General ClassificationOptical Flow Estimation | —Unverified | 0 | 0 |
| Secure and Differentially Private Bayesian Learning on Distributed Data | May 22, 2020 | Data IntegrationPrivacy Preserving | —Unverified | 0 | 0 |
| Secure multiparty computations in floating-point arithmetic | Jan 9, 2020 | AllMathematical Proofs | —Unverified | 0 | 0 |
| Secure PAC Bayesian Regression via Real Shamir Secret Sharing | Sep 23, 2021 | regression | —Unverified | 0 | 0 |
| SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE | Nov 17, 2022 | Privacy Preservingregression | —Unverified | 0 | 0 |