| AI Feynman: a Physics-Inspired Method for Symbolic Regression | May 27, 2019 | regressionSymbolic Regression | CodeCode Available | 1 | 5 |
| AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation | Jul 19, 2020 | 3D Hand Pose EstimationHand Pose Estimation | CodeCode Available | 1 | 5 |
| Efficient Conditionally Invariant Representation Learning | Dec 16, 2022 | Fairnessregression | CodeCode Available | 1 | 5 |
| Efficient Dataset Distillation Using Random Feature Approximation | Oct 21, 2022 | Dataset CondensationDataset Distillation | CodeCode Available | 1 | 5 |
| Conformal Prediction using Conditional Histograms | May 18, 2021 | BIG-bench Machine LearningConformal Prediction | CodeCode Available | 1 | 5 |
| Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression | Jan 17, 2022 | regression | CodeCode Available | 1 | 5 |
| A Comprehensive Analysis of Deep Regression | Mar 22, 2018 | Pose Estimationregression | CodeCode Available | 1 | 5 |
| Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities | Feb 13, 2020 | Additive modelsregression | 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 hybrid Decoder-DeepONet operator regression framework for unaligned observation data | Aug 18, 2023 | Decoderregression | CodeCode Available | 1 | 5 |
