| Optimizing Approximate Leave-one-out Cross-validation to Tune Hyperparameters | Nov 20, 2020 | regression | CodeCode Available | 1 |
| Dense Label Encoding for Boundary Discontinuity Free Rotation Detection | Nov 19, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Continuous Conditional Generative Adversarial Networks: Novel Empirical Losses and Label Input Mechanisms | Nov 15, 2020 | Generative Adversarial NetworkImage Generation | CodeCode Available | 1 |
| Sparsely constrained neural networks for model discovery of PDEs | Nov 9, 2020 | Model Discoveryregression | CodeCode Available | 1 |
| Graph Kernels: State-of-the-Art and Future Challenges | Nov 7, 2020 | regression | CodeCode Available | 1 |
| Fighting an Infodemic: COVID-19 Fake News Dataset | Nov 6, 2020 | ArticlesBIG-bench Machine Learning | CodeCode Available | 1 |
| c-lasso -- a Python package for constrained sparse and robust regression and classification | Nov 2, 2020 | General Classificationregression | CodeCode Available | 1 |
| Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions | Oct 28, 2020 | regression | CodeCode Available | 1 |
| NILM as a regression versus classification problem: the importance of thresholding | Oct 28, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model | Oct 25, 2020 | Depth EstimationDepth Prediction | CodeCode Available | 1 |
