| EOLO: Embedded Object Segmentation only Look Once | Mar 31, 2020 | Distance regressionGPU | CodeCode Available | 0 | 5 |
| Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening | Feb 15, 2022 | regression | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| 3D Human Pose Regression using Graph Convolutional Network | May 21, 2021 | 3D Human Pose Estimation3D Pose Estimation | CodeCode Available | 0 | 5 |
| Approximate Inference for Fully Bayesian Gaussian Process Regression | Dec 31, 2019 | GPRregression | CodeCode Available | 0 | 5 |
| A hybrid ensemble method with negative correlation learning for regression | Apr 6, 2021 | Diversityregression | CodeCode Available | 0 | 5 |
| Ensembles of Probabilistic Regression Trees | Jun 20, 2024 | regression | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Enhancing naive classifier for positive unlabeled data based on logistic regression approach | Jun 5, 2023 | regression | CodeCode Available | 0 | 5 |
| Activation Regression for Continuous Domain Generalization with Applications to Crop Classification | Apr 14, 2022 | Crop ClassificationDomain Adaptation | CodeCode Available | 0 | 5 |
| Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models | Nov 29, 2020 | regression | CodeCode Available | 0 | 5 |
| Probabilistic Traffic Forecasting with Dynamic Regression | Jan 17, 2023 | regressionTime Series | CodeCode Available | 0 | 5 |
| Epsilon-Lexicase Selection for Regression | May 30, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints | Mar 24, 2025 | Diversityregression | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model | Jun 7, 2018 | regression | CodeCode Available | 0 | 5 |
| Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review | Sep 14, 2020 | Causal InferenceModel Selection | CodeCode Available | 0 | 5 |
| End-to-End Probabilistic Inference for Nonstationary Audio Analysis | Jan 31, 2019 | Audio Signal Processingregression | CodeCode Available | 0 | 5 |
| Approximation Vector Machines for Large-scale Online Learning | Apr 22, 2016 | General Classificationregression | CodeCode Available | 0 | 5 |
| End-to-End Learning of Geometry and Context for Deep Stereo Regression | Mar 13, 2017 | regressionStereo-LiDAR Fusion | CodeCode Available | 0 | 5 |
| Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression | Jan 25, 2024 | Feature Engineeringregression | CodeCode Available | 0 | 5 |
| EnergyStar++: Towards more accurate and explanatory building energy benchmarking | Oct 30, 2019 | Benchmarkingenergy management | CodeCode Available | 0 | 5 |
| Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction | Jul 6, 2019 | Language ModelingLanguage Modelling | CodeCode Available | 0 | 5 |
