| Bayesian Additive Regression Trees with Model Trees | Jun 12, 2020 | modelregression | CodeCode Available | 1 |
| Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms | Nov 15, 2020 | Generative Adversarial NetworkImage Generation | CodeCode Available | 1 |
| Multi-View Symbolic Regression | Feb 6, 2024 | Astronomyregression | CodeCode Available | 1 |
| AniFormer: Data-driven 3D Animation with Transformer | Oct 20, 2021 | regression | CodeCode Available | 1 |
| Adversarial Driving: Attacking End-to-End Autonomous Driving | Mar 16, 2021 | Autonomous Drivingregression | CodeCode Available | 1 |
| NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization | Nov 21, 2022 | Camera LocalizationDecoder | CodeCode Available | 1 |
| Decision Stream: Cultivating Deep Decision Trees | Apr 25, 2017 | Classificationfeature selection | CodeCode Available | 1 |
| Neural Attention Forests: Transformer-Based Forest Improvement | Apr 12, 2023 | regression | CodeCode Available | 1 |
| Financial Time Series Data Processing for Machine Learning | Jul 3, 2019 | BIG-bench Machine LearningGeneral Classification | CodeCode Available | 1 |
| Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex | Dec 1, 2021 | BenchmarkingObject Recognition | CodeCode Available | 1 |
| The Eigenlearning Framework: A Conservation Law Perspective on Kernel Regression and Wide Neural Networks | Oct 8, 2021 | Adversarial RobustnessInductive Bias | CodeCode Available | 1 |
| An information criterion for automatic gradient tree boosting | Aug 13, 2020 | Model Selectionregression | CodeCode Available | 1 |
| NiftyNet: a deep-learning platform for medical imaging | Sep 11, 2017 | Data AugmentationDeep Learning | CodeCode Available | 1 |
| NILM as a regression versus classification problem: the importance of thresholding | Oct 28, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| NOMU: Neural Optimization-based Model Uncertainty | Feb 26, 2021 | Bayesian Optimizationmodel | CodeCode Available | 1 |
| Non-Gaussian Gaussian Processes for Few-Shot Regression | Oct 26, 2021 | Few-Shot LearningGaussian Processes | CodeCode Available | 1 |
| Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images | Dec 13, 2020 | Contrastive LearningObject Localization | CodeCode Available | 1 |
| One-step and Two-step Classification for Abusive Language Detection on Twitter | Jun 5, 2017 | Abuse DetectionAbusive Language | CodeCode Available | 1 |
| Econometric Inference for High Dimensional Predictive Regressions | Sep 16, 2024 | regression | CodeCode Available | 1 |
| Online estimating weight of white Pekin duck carcass by computer vision | Sep 8, 2022 | regression | CodeCode Available | 1 |
| Operator Learning Using Random Features: A Tool for Scientific Computing | Aug 12, 2024 | Operator learningregression | CodeCode Available | 1 |
| Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss | Mar 22, 2021 | Objectobject-detection | CodeCode Available | 1 |
| Optimizing Hyperparameters with Conformal Quantile Regression | May 5, 2023 | Gaussian ProcessesHyperparameter Optimization | CodeCode Available | 1 |
| OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression | Jun 6, 2022 | Aesthetics Quality AssessmentAge Estimation | CodeCode Available | 1 |
| X-Ray to CT Rigid Registration Using Scene Coordinate Regression | Nov 25, 2023 | Computed Tomography (CT)regression | CodeCode Available | 1 |
