| Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning | Feb 1, 2021 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 1 | 5 |
| CCDM: Continuous Conditional Diffusion Models for Image Generation | May 6, 2024 | DenoisingImage Generation | CodeCode Available | 1 | 5 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 | 5 |
| Cauchy-Schwarz Divergence Information Bottleneck for Regression | Apr 27, 2024 | Adversarial RobustnessInformation Plane | CodeCode Available | 1 | 5 |
| Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms | Nov 15, 2020 | Generative Adversarial NetworkImage Generation | CodeCode Available | 1 | 5 |
| CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images | Jan 18, 2021 | Objectobject-detection | CodeCode Available | 1 | 5 |
| C-Mixup: Improving Generalization in Regression | Oct 11, 2022 | regression | CodeCode Available | 1 | 5 |
| Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression | Mar 22, 2021 | object-detectionObject Detection | CodeCode Available | 1 | 5 |
| A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression | Aug 23, 2022 | regression | CodeCode Available | 1 | 5 |
| A Framework and Benchmark for Deep Batch Active Learning for Regression | Mar 17, 2022 | Active Learningregression | CodeCode Available | 1 | 5 |
