| Self-supervised regression learning using domain knowledge: Applications to improving self-supervised denoising in imaging | May 10, 2022 | DenoisingImage Denoising | —Unverified | 0 | 0 |
| Self-Sustaining Iterated Learning | Sep 13, 2016 | regression | —Unverified | 0 | 0 |
| Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection | Mar 15, 2020 | Anomaly Detectionregression | —Unverified | 0 | 0 |
| Semantic-aware Temporal Channel-wise Attention for Cardiac Function Assessment | Oct 9, 2023 | Auxiliary Learningregression | —Unverified | 0 | 0 |
| Semantic Latent Space Regression of Diffusion Autoencoders for Vertebral Fracture Grading | Mar 21, 2023 | regression | —Unverified | 0 | 0 |
| SemEval-2018 Task 1: Affect in Tweets | Jun 1, 2018 | ClassificationEmotion Classification | —Unverified | 0 | 0 |
| Semi-Anchored Detector for One-Stage Object Detection | Sep 10, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches | Jul 7, 2015 | Hyperspectral Unmixingregression | —Unverified | 0 | 0 |
| Semiparametrically efficient estimation of the average linear regression function | Oct 30, 2018 | regression | —Unverified | 0 | 0 |
| Semiparametric count data regression for self-reported mental health | Jun 16, 2021 | Nutritionregression | —Unverified | 0 | 0 |
| Semiparametric Distribution Regression with Instruments and Monotonicity | Dec 7, 2022 | regression | —Unverified | 0 | 0 |
| Semiparametric Inference for Regression-Discontinuity Designs | Mar 9, 2024 | regression | —Unverified | 0 | 0 |
| Semiparametric Latent Topic Modeling on Consumer-Generated Corpora | Jul 13, 2021 | regression | —Unverified | 0 | 0 |
| Semi-parametric Order-based Generalized Multivariate Regression | Feb 19, 2016 | regression | —Unverified | 0 | 0 |
| Semiparametric Regression for Spatial Data via Deep Learning | Jan 10, 2023 | Deep Learningregression | —Unverified | 0 | 0 |
| Semi-Parametric Uncertainty Bounds for Binary Classification | Mar 23, 2019 | Binary ClassificationClassification | —Unverified | 0 | 0 |
| Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression | Sep 9, 2015 | quantile regressionregression | —Unverified | 0 | 0 |
| Semi-supervised Active Regression | Jun 12, 2021 | Active Learningregression | —Unverified | 0 | 0 |
| Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel | Aug 1, 2023 | Anomaly DetectionQuantum Machine Learning | —Unverified | 0 | 0 |
| Semi-supervised Contrastive Regression for Estimation of Eye Gaze | Aug 5, 2023 | Contrastive LearningGaze Estimation | —Unverified | 0 | 0 |
| Semi-Supervised Deep Sobolev Regression: Estimation and Variable Selection by ReQU Neural Network | Jan 9, 2024 | regressionVariable Selection | —Unverified | 0 | 0 |
| Semi-Supervised Domain Adaptation with Non-Parametric Copulas | Dec 1, 2012 | Domain Adaptationregression | —Unverified | 0 | 0 |
| Semi-Supervised Empirical Risk Minimization: Using unlabeled data to improve prediction | Sep 1, 2020 | regression | —Unverified | 0 | 0 |
| Semi-supervised Fréchet Regression | Apr 16, 2024 | regression | —Unverified | 0 | 0 |
| Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images | Mar 24, 2021 | Density Estimationregression | —Unverified | 0 | 0 |
| Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes | Jul 29, 2021 | regression | —Unverified | 0 | 0 |
| Semi-supervised learning for structured regression on partially observed attributed graphs | Mar 28, 2018 | ImputationMissing Labels | —Unverified | 0 | 0 |
| Semisupervised Learning on Heterogeneous Graphs and its Applications to Facebook News Feed | May 18, 2018 | Classificationdomain classification | —Unverified | 0 | 0 |
| Semi-supervised Learning with Constraints for Person Identification in Multimedia Data | Jun 1, 2013 | Face RecognitionGeneral Classification | —Unverified | 0 | 0 |
| Semi-supervised Logistic Learning Based on Exponential Tilt Mixture Models | Jun 19, 2019 | General Classificationregression | —Unverified | 0 | 0 |
| Semi-supervised Nonnegative Matrix Factorization for Document Classification | Feb 28, 2022 | ClassificationDocument Classification | —Unverified | 0 | 0 |
| Semi-Supervised Object Detection with Object-wise Contrastive Learning and Regression Uncertainty | Dec 6, 2022 | ClassificationContrastive Learning | —Unverified | 0 | 0 |
| Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization | Jan 31, 2019 | regression | —Unverified | 0 | 0 |
| Semi-supervised Pose Estimation with Geometric Latent Representations | Sep 25, 2019 | ObjectPose Estimation | —Unverified | 0 | 0 |
| Semi-supervised Ranking Pursuit | Jul 2, 2013 | regression | —Unverified | 0 | 0 |
| Semi-supervised Regression Analysis with Model Misspecification and High-dimensional Data | Jun 20, 2024 | regressionTransfer Learning | —Unverified | 0 | 0 |
| Semisupervised regression in latent structure networks on unknown manifolds | May 4, 2023 | Graph EmbeddingPosition | —Unverified | 0 | 0 |
| Semi-Supervised Regression using Cluster Ensemble and Low-Rank Co-Association Matrix Decomposition under Uncertainties | Jan 13, 2019 | regression | —Unverified | 0 | 0 |
| Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction | Dec 1, 2009 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Semi-supervised Regression via Parallel Field Regularization | Dec 1, 2011 | regression | —Unverified | 0 | 0 |
| Semi-Supervised Regression with Generative Adverserial Networks for End to End Learning in Autonomous Driving | Nov 13, 2018 | Autonomous Drivingregression | —Unverified | 0 | 0 |
| Semi-supervised regression with skewed data via adversarially forcing the distribution of predicted values | Jan 1, 2021 | Drug Discoveryregression | —Unverified | 0 | 0 |
| Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression | Aug 1, 2013 | regressionTopic Models | —Unverified | 0 | 0 |
| Semi-supervised structured output prediction by local linear regression and sub-gradient descent | Jun 7, 2016 | Predictionregression | —Unverified | 0 | 0 |
| Semi-supervised Text Regression with Conditional Generative Adversarial Networks | Oct 2, 2018 | Generative Adversarial Networkregression | —Unverified | 0 | 0 |
| SEMULATOR: Emulating the Dynamics of Crossbar Array-based Analog Neural System with Regression Neural Networks | Jan 19, 2021 | regression | —Unverified | 0 | 0 |
| Sensitivity Analysis of RF+clust for Leave-one-problem-out Performance Prediction | May 30, 2023 | regressionSensitivity | —Unverified | 0 | 0 |
| Sensorless Adaptive Vibration Suppression in Two-Mass Systems via Joint Estimation of Controller Parameters and System States | Mar 23, 2023 | regression | —Unverified | 0 | 0 |
| Sentence Complexity in Context | Jun 1, 2021 | regressionSentence | —Unverified | 0 | 0 |
| Sentence Semantic Regression for Text Generation | Aug 6, 2021 | DecoderDialogue Generation | —Unverified | 0 | 0 |