| Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery | Jun 21, 2022 | regressionscientific discovery | CodeCode Available | 1 | 5 |
| Benchmarking Regression Methods: A comparison with CGAN | May 30, 2019 | BenchmarkingInductive Learning | CodeCode Available | 1 | 5 |
| Revisiting Discriminative vs. Generative Classifiers: Theory and Implications | Feb 5, 2023 | Few-Shot LearningImage Classification | CodeCode Available | 1 | 5 |
| An Intuitive Tutorial to Gaussian Process Regression | Sep 22, 2020 | BIG-bench Machine LearningGaussian Processes | CodeCode Available | 1 | 5 |
| Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model | Jun 7, 2018 | regression | CodeCode Available | 0 | 5 |
| Estimating Uncertainty Intervals from Collaborating Networks | Feb 12, 2020 | Decision Makingregression | CodeCode Available | 0 | 5 |
| A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition | Mar 14, 2023 | A-VB CultureA-VB High | CodeCode Available | 0 | 5 |
| Estimating The Effect Of Subscription based Streaming Services On The Demand For Game Consoles | Dec 23, 2020 | regression | CodeCode Available | 0 | 5 |
| Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models | Jul 14, 2019 | Clusteringfeature selection | CodeCode Available | 0 | 5 |
| Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression | Oct 3, 2024 | regression | CodeCode Available | 0 | 5 |
| Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation | Nov 22, 2022 | feature selectionregression | 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 |
| A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening | Jun 15, 2023 | Graph Classificationregression | CodeCode Available | 0 | 5 |
| Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction | Jul 22, 2024 | regressionvalid | CodeCode Available | 0 | 5 |
| ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations | Oct 6, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 0 | 5 |
| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| EOLO: Embedded Object Segmentation only Look Once | Mar 31, 2020 | Distance regressionGPU | CodeCode Available | 0 | 5 |
| Epsilon-Lexicase Selection for Regression | May 30, 2019 | regressionSymbolic Regression | CodeCode Available | 0 | 5 |
| Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification | Nov 26, 2022 | Additive modelsregression | CodeCode Available | 0 | 5 |
| HQOD: Harmonious Quantization for Object Detection | Aug 5, 2024 | Objectobject-detection | CodeCode Available | 0 | 5 |
| Ensembles of Probabilistic Regression Trees | Jun 20, 2024 | regression | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels | Oct 8, 2023 | regression | CodeCode Available | 0 | 5 |
| Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods | Jul 24, 2024 | regression | CodeCode Available | 0 | 5 |
