| Top-Related Meta-Learning Method for Few-Shot Object Detection | Jul 14, 2020 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 0 |
| Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification | Jul 13, 2020 | General ClassificationMeta-Learning | —Unverified | 0 |
| Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding | Jul 11, 2020 | ClassificationFew-Shot Learning | —Unverified | 0 |
| Submodular Meta-Learning | Jul 11, 2020 | Meta-Learning | CodeCode Available | 0 |
| Online Parameter-Free Learning of Multiple Low Variance Tasks | Jul 11, 2020 | Meta-LearningMulti-Task Learning | CodeCode Available | 0 |
| Meta Soft Label Generation for Noisy Labels | Jul 11, 2020 | Meta-Learning | CodeCode Available | 1 |
| Meta-Learning Requires Meta-Augmentation | Jul 10, 2020 | Meta-Learning | —Unverified | 0 |
| Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification | Jul 9, 2020 | Active LearningGeneral Classification | —Unverified | 0 |
| Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing | Jul 9, 2020 | Binary ClassificationCamera Pose Estimation | —Unverified | 0 |
| Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network | Jul 8, 2020 | Anomaly DetectionAstronomy | CodeCode Available | 0 |
| Semi-Supervised Learning with Meta-Gradient | Jul 8, 2020 | Meta-LearningPseudo Label | CodeCode Available | 1 |
| Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning | Jul 8, 2020 | AutoMLBIG-bench Machine Learning | CodeCode Available | 3 |
| Few-Shot One-Class Classification via Meta-Learning | Jul 8, 2020 | Anomaly DetectionClassification | CodeCode Available | 1 |
| Meta-Learning with Network Pruning | Jul 7, 2020 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network | Jul 7, 2020 | BIG-bench Machine LearningGeneral Classification | —Unverified | 0 |
| Meta-active Learning in Probabilistically-Safe Optimization | Jul 7, 2020 | Active LearningMeta-Learning | —Unverified | 0 |
| MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation | Jul 7, 2020 | Meta-LearningRecommendation Systems | CodeCode Available | 1 |
| Meta-Learning Symmetries by Reparameterization | Jul 6, 2020 | Meta-Learning | CodeCode Available | 2 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Meta-Learning Divergences of Variational Inference | Jul 6, 2020 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Meta Learning for Causal Direction | Jul 6, 2020 | Causal InferenceMeta-Learning | —Unverified | 0 |
| Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding | Jul 6, 2020 | General ClassificationGraph structure learning | CodeCode Available | 1 |
| Adaptive Risk Minimization: Learning to Adapt to Domain Shift | Jul 6, 2020 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 1 |
| Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs | Jul 5, 2020 | Graph Neural NetworkMeta-Learning | CodeCode Available | 1 |
| Meta-Semi: A Meta-learning Approach for Semi-supervised Learning | Jul 5, 2020 | Meta-Learning | —Unverified | 0 |
