| TUDataset: A collection of benchmark datasets for learning with graphs | Jul 16, 2020 | Graph ClassificationGraph Neural Network | CodeCode Available | 1 |
| Deep Learning for Quantile Regression under Right Censoring: DeepQuantreg | Jul 14, 2020 | Deep Learningquantile regression | CodeCode Available | 1 |
| Alleviating Over-segmentation Errors by Detecting Action Boundaries | Jul 14, 2020 | Action ClassificationAction Segmentation | CodeCode Available | 1 |
| Deep Surrogate Models for Multi-dimensional Regression of Reactor Power | Jul 10, 2020 | regression | CodeCode Available | 1 |
| JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image | Jul 9, 2020 | 3D Hand Pose EstimationGPU | CodeCode Available | 1 |
| Multilevel Graph Matching Networks for Deep Graph Similarity Learning | Jul 8, 2020 | Graph ClassificationGraph Matching | CodeCode Available | 1 |
| Detection as Regression: Certified Object Detection by Median Smoothing | Jul 7, 2020 | Objectobject-detection | CodeCode Available | 1 |
| Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation | Jul 6, 2020 | Instance SegmentationObject | CodeCode Available | 1 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Attention-based Joint Detection of Object and Semantic Part | Jul 5, 2020 | Objectobject-detection | CodeCode Available | 1 |
| Piecewise Linear Regression via a Difference of Convex Functions | Jul 5, 2020 | regression | CodeCode Available | 1 |
| Path Integral Based Convolution and Pooling for Graph Neural Networks | Jun 29, 2020 | Graph ClassificationGraph Regression | CodeCode Available | 1 |
| Deep Ordinal Regression with Label Diversity | Jun 29, 2020 | Age EstimationDiversity | CodeCode Available | 1 |
| Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates | Jun 28, 2020 | Keypoint DetectionMulti-Person Pose Estimation | CodeCode Available | 1 |
| Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python | Jun 27, 2020 | regressionSparse Learning | CodeCode Available | 1 |
| Critic Regularized Regression | Jun 26, 2020 | Offline RLregression | CodeCode Available | 1 |
| Time Series Extrinsic Regression | Jun 23, 2020 | regressionTime Series | CodeCode Available | 1 |
| Regression Prior Networks | Jun 20, 2020 | Depth EstimationMonocular Depth Estimation | CodeCode Available | 1 |
| Monash University, UEA, UCR Time Series Extrinsic Regression Archive | Jun 19, 2020 | BenchmarkingMissing Values | CodeCode Available | 1 |
| Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality | Jun 18, 2020 | Predictionregression | CodeCode Available | 1 |
| AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity | Jun 18, 2020 | regressionSymbolic Regression | CodeCode Available | 1 |
| Hyperbolic Neural Networks++ | Jun 15, 2020 | BIG-bench Machine Learningregression | CodeCode Available | 1 |
| Depth Uncertainty in Neural Networks | Jun 15, 2020 | image-classificationImage Classification | CodeCode Available | 1 |
| Adversarial Weighting for Domain Adaptation in Regression | Jun 15, 2020 | Domain Adaptationregression | CodeCode Available | 1 |
| Bayesian Additive Regression Trees with Model Trees | Jun 12, 2020 | modelregression | CodeCode Available | 1 |
