| Consistent Accelerated Inference via Confident Adaptive Transformers | Apr 18, 2021 | Computational EfficiencyConformal Prediction | CodeCode Available | 1 | 5 |
| Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models | Nov 8, 2021 | regression | CodeCode Available | 1 | 5 |
| Conjecturing-Based Discovery of Patterns in Data | Nov 23, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 | 5 |
| A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning | Apr 15, 2022 | BIG-bench Machine Learningregression | CodeCode Available | 1 | 5 |
| ConR: Contrastive Regularizer for Deep Imbalanced Regression | Sep 13, 2023 | Deep imbalanced regressionregression | CodeCode Available | 1 | 5 |
| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 | 5 |
| Conformal Prediction using Conditional Histograms | May 18, 2021 | BIG-bench Machine LearningConformal Prediction | CodeCode Available | 1 | 5 |
| A Large-Scale Study of Probabilistic Calibration in Neural Network Regression | Jun 5, 2023 | AttributeConformal Prediction | CodeCode Available | 1 | 5 |
| ConDo: Continual Domain Expansion for Absolute Pose Regression | Dec 18, 2024 | Domain Adaptationregression | CodeCode Available | 1 | 5 |
| AI Feynman: a Physics-Inspired Method for Symbolic Regression | May 27, 2019 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity | Jun 18, 2020 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery | Jun 21, 2024 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box Identification | Sep 29, 2023 | parameter estimationregression | CodeCode Available | 1 | 5 |
| A local approach to parameter space reduction for regression and classification tasks | Jul 22, 2021 | ClusteringDimensionality Reduction | CodeCode Available | 1 | 5 |
| An Evolutionary Forest for Regression | Nov 20, 2021 | Penn Machine Learning Benchmarkregression | CodeCode Available | 1 | 5 |
| Conformal Prediction via Regression-as-Classification | Apr 12, 2024 | ClassificationConformal Prediction | CodeCode Available | 1 | 5 |
| Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss | Jun 4, 2024 | quantile regressionregression | CodeCode Available | 1 | 5 |
| Alleviating Over-segmentation Errors by Detecting Action Boundaries | Jul 14, 2020 | Action ClassificationAction Segmentation | CodeCode Available | 1 | 5 |
| Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data | May 25, 2021 | Anomaly DetectionConformal Prediction | CodeCode Available | 1 | 5 |
| AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression | Oct 8, 2022 | 3D Multi-Person Pose EstimationHuman Detection | CodeCode Available | 1 | 5 |
| Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression | Oct 26, 2021 | object-detectionObject Detection | 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 |
| Conformal Prediction with Missing Values | Jun 5, 2023 | Conformal PredictionData Augmentation | CodeCode Available | 1 | 5 |
| A Mathematical Analysis of Learning Loss for Active Learning in Regression | Apr 19, 2021 | Active LearningPose Estimation | CodeCode Available | 1 | 5 |
| Context-aware and Scale-insensitive Temporal Repetition Counting | May 18, 2020 | regression | CodeCode Available | 1 | 5 |
