| Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks | Oct 3, 2019 | Few-Shot Image ClassificationGeneral Classification | CodeCode Available | 0 | 5 |
| HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection | Oct 31, 2022 | regression | CodeCode Available | 0 | 5 |
| ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment | Mar 29, 2022 | Face AlignmentFacial Landmark Detection | CodeCode Available | 0 | 5 |
| A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression | Oct 28, 2019 | regression | CodeCode Available | 0 | 5 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |
| Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach | Mar 22, 2023 | Model Discoveryregression | CodeCode Available | 0 | 5 |
| A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning | Oct 1, 2021 | Distributional Reinforcement Learningquantile regression | CodeCode Available | 0 | 5 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models | Sep 4, 2023 | regression | CodeCode Available | 0 | 5 |
| Model-based Reinforcement Learning for Continuous Control with Posterior Sampling | Nov 20, 2020 | continuous-controlContinuous Control | CodeCode Available | 0 | 5 |
