| Salient Region Segmentation | Mar 15, 2018 | Gaze PredictionPrediction | —Unverified | 0 | 0 |
| SALVE: Self-supervised Adaptive Low-light Video Enhancement | Dec 22, 2022 | Image EnhancementLow-Light Image Enhancement | —Unverified | 0 | 0 |
| Sample complexity and effective dimension for regression on manifolds | Jun 13, 2020 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Sample Complexity of the Sign-Perturbed Sums Method | Sep 2, 2024 | regression | —Unverified | 0 | 0 |
| Sample Compression for Real-Valued Learners | May 21, 2018 | Open-Ended Question Answeringregression | —Unverified | 0 | 0 |
| Sample-Efficient Linear Regression with Self-Selection Bias | Feb 22, 2024 | regressionSelection bias | —Unverified | 0 | 0 |
| Sample Efficient Robot Learning in Supervised Effect Prediction Tasks | Dec 3, 2024 | Active LearningDiversity | —Unverified | 0 | 0 |
| Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning | Feb 14, 2021 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Sample-Optimal Private Regression in Polynomial Time | Mar 31, 2025 | regression | —Unverified | 0 | 0 |
| Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing | Jan 25, 2021 | regression | —Unverified | 0 | 0 |
| Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications | Mar 11, 2022 | Bayesian InferenceMarketing | —Unverified | 0 | 0 |
| Sampling constrained probability distributions using Spherical Augmentation | Jun 19, 2015 | Bayesian Inferenceregression | —Unverified | 0 | 0 |
| Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning | Jul 7, 2022 | regression | —Unverified | 0 | 0 |
| Sandbox Sample Classification Using Behavioral Indicators of Compromise | Jan 18, 2022 | Classificationregression | —Unverified | 0 | 0 |
| SATLab at SemEval-2022 Task 4: Trying to Detect Patronizing and Condescending Language with only Character and Word N-grams | Mar 10, 2022 | regression | —Unverified | 0 | 0 |
| SBAMDT: Bayesian Additive Decision Trees with Adaptive Soft Semi-multivariate Split Rules | Jan 17, 2025 | regression | —Unverified | 0 | 0 |
| Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems | May 17, 2023 | Off-policy evaluationregression | —Unverified | 0 | 0 |
| Scalable Approximations for Generalized Linear Problems | Nov 21, 2016 | Binary ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Scalable Bayesian Network Structure Learning with Splines | Oct 27, 2021 | feature selectionregression | —Unverified | 0 | 0 |
| Scalable Bid Landscape Forecasting in Real-time Bidding | Jan 18, 2020 | regression | —Unverified | 0 | 0 |
| Scalable computation of prediction intervals for neural networks via matrix sketching | May 6, 2022 | Computational EfficiencyPrediction Intervals | —Unverified | 0 | 0 |
| Scalable Cross Validation Losses for Gaussian Process Models | May 24, 2021 | ClassificationMulti-class Classification | —Unverified | 0 | 0 |
| Scalable Estimation for Structured Additive Distributional Regression | Jan 13, 2023 | regression | —Unverified | 0 | 0 |
| Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees | Jun 26, 2018 | Gaussian Processesregression | —Unverified | 0 | 0 |
| Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase | Dec 25, 2019 | Gaussian Processesregression | —Unverified | 0 | 0 |