| Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases | Dec 1, 2020 | Language ModelingLanguage Modelling | —Unverified | 0 | 0 |
| An implicit function learning approach for parametric modal regression | Feb 14, 2020 | regression | —Unverified | 0 | 0 |
| A Consistent and Scalable Algorithm for Best Subset Selection in Single Index Models | Sep 12, 2023 | Model Selectionregression | —Unverified | 0 | 0 |
| Symbolic Regression on Sparse and Noisy Data with Gaussian Processes | Sep 20, 2023 | Gaussian Processesregression | —Unverified | 0 | 0 |
| GPTreeO: An R package for continual regression with dividing local Gaussian processes | Oct 1, 2024 | Continual LearningGaussian Processes | —Unverified | 0 | 0 |
| GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification | Aug 8, 2020 | ClassificationGeneral Classification | —Unverified | 0 | 0 |
| Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis | Nov 24, 2024 | regressionSymbolic Regression | —Unverified | 0 | 0 |
| GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network | May 22, 2017 | Lesion Detectionregression | —Unverified | 0 | 0 |
| Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption | Apr 28, 2023 | regression | —Unverified | 0 | 0 |
| Brute-Force Facial Landmark Analysis With A 140,000-Way Classifier | Feb 6, 2018 | General Classificationregression | —Unverified | 0 | 0 |
| Gradient-Based Empirical Risk Minimization using Local Polynomial Regression | Nov 4, 2020 | regression | —Unverified | 0 | 0 |
| Enhancing Social Media Post Popularity Prediction with Visual Content | May 3, 2024 | Predictionregression | —Unverified | 0 | 0 |
| Gradient-based Optimization for Regression in the Functional Tensor-Train Format | Jan 3, 2018 | regression | —Unverified | 0 | 0 |
| Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization | Apr 26, 2023 | regression | —Unverified | 0 | 0 |
| Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions | Mar 28, 2017 | regression | —Unverified | 0 | 0 |
| Gradient Boosted Binary Histogram Ensemble for Large-scale Regression | Jun 3, 2021 | Computational EfficiencyEnsemble Learning | —Unverified | 0 | 0 |
| Broad Learning System Based on Maximum Correntropy Criterion | Dec 24, 2019 | General ClassificationIncremental Learning | —Unverified | 0 | 0 |
| Gradient boosting machine with partially randomized decision trees | Jun 19, 2020 | BIG-bench Machine Learningregression | —Unverified | 0 | 0 |
| Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction | May 14, 2024 | Dimensionality Reductionregression | —Unverified | 0 | 0 |
| Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy | Dec 7, 2023 | regressionTransfer Learning | —Unverified | 0 | 0 |
| An Homotopy Algorithm for the Lasso with Online Observations | Dec 1, 2008 | compressed sensingDenoising | —Unverified | 0 | 0 |
| Adversarial Bi-Regressor Network for Domain Adaptive Regression | Sep 20, 2022 | Domain Adaptationregression | —Unverified | 0 | 0 |
| Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning | Sep 26, 2019 | regression | —Unverified | 0 | 0 |
| Gradient Descent Converges Linearly for Logistic Regression on Separable Data | Jun 26, 2023 | regression | —Unverified | 0 | 0 |
| Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models | Jul 20, 2024 | Deep LearningLoad Forecasting | —Unverified | 0 | 0 |