| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| Learning concise representations for regression by evolving networks of trees | Jul 3, 2018 | Disentanglementregression | CodeCode Available | 1 | 5 |
| -IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression | May 21, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| c-lasso -- a Python package for constrained sparse and robust regression and classification | Nov 2, 2020 | General Classificationregression | CodeCode Available | 1 | 5 |
| Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution | Mar 16, 2020 | Image Super-Resolutionregression | CodeCode Available | 1 | 5 |
| Closed-Loop Koopman Operator Approximation | Mar 27, 2023 | regression | CodeCode Available | 1 | 5 |
| Learning from aggregated data with a maximum entropy model | Oct 5, 2022 | regression | CodeCode Available | 1 | 5 |
| Learning from Aggregate Observations | Apr 14, 2020 | Binary ClassificationClassification | CodeCode Available | 1 | 5 |
| CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds | Mar 2, 2021 | 6D Pose EstimationObject | CodeCode Available | 1 | 5 |
| C-Mixup: Improving Generalization in Regression | Oct 11, 2022 | regression | CodeCode Available | 1 | 5 |
| Learning Invariances in Neural Networks | Oct 22, 2020 | image-classificationImage Classification | CodeCode Available | 1 | 5 |
| Energy-Based Models for Deep Probabilistic Regression | Sep 26, 2019 | Head Pose Estimationobject-detection | CodeCode Available | 1 | 5 |
| Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery | Jun 21, 2024 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Extending regionalization algorithms to explore spatial process heterogeneity | Jun 19, 2022 | regression | CodeCode Available | 1 | 5 |
| Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization | Jun 1, 2022 | Model Discoveryregression | CodeCode Available | 1 | 5 |
| Learning Stereo Matchability in Disparity Regression Networks | Aug 11, 2020 | regressionStereo Disparity Estimation | CodeCode Available | 1 | 5 |
| Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss | Jun 4, 2024 | quantile regressionregression | CodeCode Available | 1 | 5 |
| Deep Generative Symbolic Regression | Dec 30, 2023 | FormHeuristic Search | CodeCode Available | 1 | 5 |
| Leveraging Knowledge Bases And Parallel Annotations For Music Genre Translation | Jul 18, 2019 | Diversityregression | CodeCode Available | 1 | 5 |
| Leveraging Neural Radiance Field in Descriptor Synthesis for Keypoints Scene Coordinate Regression | Mar 15, 2024 | Graph AttentionImage Retrieval | CodeCode Available | 1 | 5 |
| Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data | May 25, 2021 | Anomaly DetectionConformal Prediction | CodeCode Available | 1 | 5 |
| Deep Ordinal Regression with Label Diversity | Jun 29, 2020 | Age EstimationDiversity | CodeCode Available | 1 | 5 |
| DANets: Deep Abstract Networks for Tabular Data Classification and Regression | Dec 6, 2021 | regression | CodeCode Available | 1 | 5 |
| D4AM: A General Denoising Framework for Downstream Acoustic Models | Nov 28, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 1 | 5 |
| DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices | Mar 23, 2023 | Domain Adaptationregression | CodeCode Available | 1 | 5 |
