| On the approximation capability of GNNs in node classification/regression tasks | Jun 16, 2021 | ClusteringGraph Classification | CodeCode Available | 0 | 5 |
| Accuracy Prediction for NAS Acceleration using Feature Selection and Extrapolation | Nov 22, 2022 | feature selectionregression | CodeCode Available | 0 | 5 |
| A Spectral Theory of Neural Prediction and Alignment | Sep 22, 2023 | Predictionregression | CodeCode Available | 0 | 5 |
| ACRNet: Attention Cube Regression Network for Multi-view Real-time 3D Human Pose Estimation in Telemedicine | Oct 11, 2022 | 3D Human Pose EstimationPose Estimation | 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 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression | Dec 1, 2019 | 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 Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |