| GP-BART: a novel Bayesian additive regression trees approach using Gaussian processes | Apr 5, 2022 | Gaussian Processesregression | CodeCode Available | 1 | 5 |
| Adversarial Weighting for Domain Adaptation in Regression | Jun 15, 2020 | Domain Adaptationregression | CodeCode Available | 1 | 5 |
| Controlled abstention neural networks for identifying skillful predictions for regression problems | Apr 16, 2021 | regression | CodeCode Available | 1 | 5 |
| Boolformer: Symbolic Regression of Logic Functions with Transformers | Sep 21, 2023 | Binary Classificationregression | CodeCode Available | 1 | 5 |
| Alleviating Over-segmentation Errors by Detecting Action Boundaries | Jul 14, 2020 | Action ClassificationAction Segmentation | CodeCode Available | 1 | 5 |
| Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing | Feb 17, 2021 | Graph ClassificationGraph Learning | CodeCode Available | 1 | 5 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| BoostTree and BoostForest for Ensemble Learning | Mar 21, 2020 | DiversityEnsemble Learning | CodeCode Available | 1 | 5 |
| Coresets via Bilevel Optimization for Continual Learning and Streaming | Jun 6, 2020 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 | 5 |
| AI Feynman: a Physics-Inspired Method for Symbolic Regression | May 27, 2019 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
