| Latent Regression Bayesian Network for Data Representation | Jun 15, 2015 | regression | —Unverified | 0 |
| Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture | Jun 1, 2014 | 3D Hand Pose EstimationHand Pose Estimation | —Unverified | 0 |
| Latent Variable Autoregression with Exogenous Inputs | Jun 4, 2025 | regression | —Unverified | 0 |
| Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems | Sep 25, 2020 | GPRregression | —Unverified | 0 |
| Lateral land movement prediction from GNSS position time series in a machine learning aided algorithm | Jun 14, 2020 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Lattice Regression | Dec 1, 2009 | Managementregression | —Unverified | 0 |
| Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control | Dec 31, 2016 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction | May 18, 2021 | Lexical Complexity PredictionPOS | —Unverified | 0 |
| LCR-Net: Localization-Classification-Regression for Human Pose | Jul 1, 2017 | 3D Human Pose Estimation3D Multi-Person Pose Estimation (absolute) | —Unverified | 0 |
| LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy | Nov 25, 2024 | Mixture-of-Expertsregression | —Unverified | 0 |
| LeanML: A Design Pattern To Slash Avoidable Wastes in Machine Learning Projects | Jul 16, 2021 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models | Mar 28, 2023 | regression | —Unverified | 0 |
| Learnable Pooling in Graph Convolution Networks for Brain Surface Analysis | Nov 22, 2019 | General Classificationregression | —Unverified | 0 |
| Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks | Jun 21, 2020 | regression | —Unverified | 0 |
| Learning 2D Gabor Filters by Infinite Kernel Learning Regression | Dec 8, 2017 | Face Recognitionregression | —Unverified | 0 |
| Learning a binary search with a recurrent neural network. A novel approach to ordinal regression analysis | Jan 7, 2021 | regressionSpecificity | —Unverified | 0 |
| Learning a Hybrid Architecture for Sequence Regression and Annotation | Dec 16, 2015 | regression | —Unverified | 0 |
| Learning and Generalization with Mixture Data | Apr 29, 2025 | Domain AdaptationFederated Learning | —Unverified | 0 |
| Learning-Based Nonlinear H^ Control via Game-Theoretic Differential Dynamic Programming | Jul 9, 2021 | regression | —Unverified | 0 |
| Learning battery model parameter dynamics from data with recursive Gaussian process regression | Apr 26, 2023 | Computational EfficiencyManagement | —Unverified | 0 |
| Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics | Jun 3, 2022 | regression | —Unverified | 0 |
| Learning Binary Trees via Sparse Relaxation | Sep 28, 2020 | Clusteringregression | —Unverified | 0 |
| Learning-by-Synthesis for Appearance-based 3D Gaze Estimation | Jun 1, 2014 | 3D ReconstructionGaze Estimation | —Unverified | 0 |
| Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression | Apr 24, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |
| Learning Causal Structures Using Regression Invariance | May 26, 2017 | Causal Inferenceregression | —Unverified | 0 |
| Learning Combinations of Sigmoids Through Gradient Estimation | Aug 22, 2017 | regression | —Unverified | 0 |
| Learning Conditional Average Treatment Effects in Regression Discontinuity Designs using Bayesian Additive Regression Trees | Mar 1, 2025 | Causal Inferenceregression | —Unverified | 0 |
| Learning curves for Gaussian process regression with power-law priors and targets | Oct 23, 2021 | GPRregression | —Unverified | 0 |
| Learning curves for multi-task Gaussian process regression | Dec 1, 2012 | Multi-Task Learningregression | —Unverified | 0 |
| Learning Deep Analysis Dictionaries for Image Super-Resolution | Jan 31, 2020 | ClusteringImage Super-Resolution | —Unverified | 0 |
| Learning Differentiable Surrogate Losses for Structured Prediction | Nov 18, 2024 | Contrastive LearningPrediction | —Unverified | 0 |
| Learning Direct and Inverse Transmission Matrices | Jan 15, 2019 | regression | —Unverified | 0 |
| Learning Disentangled Representations for CounterFactual Regression | May 1, 2020 | counterfactualregression | —Unverified | 0 |
| Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization | Jun 2, 2022 | Causal Inferencecounterfactual | —Unverified | 0 |
| Learning Economic Model Predictive Control via Clustering and Kernel-Based Lipschitz Regression | May 8, 2025 | Model Predictive Controlregression | —Unverified | 0 |
| Learning Efficient Object Detection Models with Knowledge Distillation | Dec 1, 2017 | Knowledge DistillationModel Compression | —Unverified | 0 |
| Learning Eye-in-Hand Camera Calibration from a Single Image | Nov 1, 2021 | Camera CalibrationPose Estimation | —Unverified | 0 |
| Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression | May 20, 2017 | regression | —Unverified | 0 |
| Learning from Imprecise and Fuzzy Observations: Data Disambiguation through Generalized Loss Minimization | May 3, 2013 | Binary ClassificationGeneral Classification | —Unverified | 0 |
| Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches | Nov 29, 2019 | Image Quality AssessmentImage Reconstruction | —Unverified | 0 |
| Learning from Multiway Data: Simple and Efficient Tensor Regression | Jul 8, 2016 | Multi-Task Learningregression | —Unverified | 0 |
| Learning from Non-Random Data in Hilbert Spaces: An Optimal Recovery Perspective | Jun 5, 2020 | regression | —Unverified | 0 |
| Causal Strategic Linear Regression | Feb 24, 2020 | Decision Makingparameter estimation | —Unverified | 0 |
| Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood | Dec 23, 2024 | regression | —Unverified | 0 |
| Learning Functional Dependencies with Sparse Regression | May 4, 2019 | regression | —Unverified | 0 |
| Learning Functional Priors and Posteriors from Data and Physics | Jun 8, 2021 | Meta-Learningregression | —Unverified | 0 |
| Learning functions varying along a central subspace | Jan 22, 2020 | Open-Ended Question Answeringregression | —Unverified | 0 |
| Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron | Mar 3, 2023 | regressionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence | Jun 3, 2021 | object-detectionObject Detection | —Unverified | 0 |
| Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection | Mar 26, 2016 | ClusteringObject | —Unverified | 0 |