| Self-Distillation for Gaussian Process Regression and Classification | Apr 5, 2023 | ClassificationGPR | CodeCode Available | 0 | 5 |
| A Locally Adaptive Interpretable Regression | May 7, 2020 | BIG-bench Machine LearningEconometrics | CodeCode Available | 0 | 5 |
| Self-Supervised Learning for Time Series: A Review & Critique of FITS | Oct 23, 2024 | regressionSelf-Supervised Learning | CodeCode Available | 0 | 5 |
| Attentive Neural Processes | Jan 17, 2019 | regression | CodeCode Available | 0 | 5 |
| SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals | May 28, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 | 5 |
| Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression | Apr 7, 2021 | General Classificationimage-classification | CodeCode Available | 0 | 5 |
| Attentive Deep Regression Networks for Real-Time Visual Face Tracking in Video Surveillance | Aug 10, 2019 | feature selectionObject Tracking | CodeCode Available | 0 | 5 |
| Discovery of sparse hysteresis models for piezoelectric materials | Feb 10, 2023 | regression | CodeCode Available | 0 | 5 |
| Semi-Supervised Regression with Co-Training | Jun 1, 2005 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Direct side information learning for zero-shot regression | Feb 2, 2024 | global-optimizationimage-classification | CodeCode Available | 0 | 5 |
| Coresets for Regressions with Panel Data | Nov 2, 2020 | regression | CodeCode Available | 0 | 5 |
| Coresets for Scalable Bayesian Logistic Regression | May 20, 2016 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering | Oct 26, 2022 | ClusteringFederated Learning | CodeCode Available | 0 | 5 |
| Attention layers provably solve single-location regression | Oct 2, 2024 | regression | CodeCode Available | 0 | 5 |
| Almost Linear Constant-Factor Sketching for _1 and Logistic Regression | Mar 31, 2023 | regression | CodeCode Available | 0 | 5 |
| Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning | May 25, 2017 | Feature Engineeringregression | CodeCode Available | 0 | 5 |
| Direct Regression of Distortion Field from a Single Fingerprint Image | Apr 26, 2024 | regression | CodeCode Available | 0 | 5 |
| Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation | Aug 14, 2019 | Computed Tomography (CT)Image Retrieval | CodeCode Available | 0 | 5 |
| Discrete-Constrained Regression for Local Counting Models | Jul 20, 2022 | Age EstimationClassification | CodeCode Available | 0 | 5 |
| Distilling Governing Laws and Source Input for Dynamical Systems from Videos | May 3, 2022 | regression | CodeCode Available | 0 | 5 |
| Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes | Aug 3, 2018 | Conditional Image GenerationDiversity | CodeCode Available | 0 | 5 |
| Attention-based Interpretable Regression of Gene Expression in Histology | Aug 29, 2022 | regression | CodeCode Available | 0 | 5 |
| Diffusion Counterfactuals for Image Regressors | Mar 26, 2025 | counterfactualDenoising | CodeCode Available | 0 | 5 |
| Dimensionality reduction, regularization, and generalization in overparameterized regressions | Nov 23, 2020 | Data PoisoningDimensionality Reduction | CodeCode Available | 0 | 5 |
| Attack-Resistant Federated Learning with Residual-based Reweighting | Dec 24, 2019 | Federated Learningregression | CodeCode Available | 0 | 5 |
