| Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning | Sep 28, 2019 | Few-Shot LearningFew-Shot Object Detection | —Unverified | 0 |
| Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation | Sep 28, 2019 | FormMeta-Learning | —Unverified | 0 |
| Learning Fast Adaptation with Meta Strategy Optimization | Sep 28, 2019 | Meta-Learning | CodeCode Available | 0 |
| Improving Federated Learning Personalization via Model Agnostic Meta Learning | Sep 27, 2019 | Federated LearningMeta-Learning | CodeCode Available | 0 |
| Fast and Effective Adaptation of Facial Action Unit Detection Deep Model | Sep 26, 2019 | Action Unit DetectionFacial Action Unit Detection | —Unverified | 0 |
| A Theoretical Analysis of the Number of Shots in Few-Shot Learning | Sep 25, 2019 | ClassificationFew-Shot Learning | —Unverified | 0 |
| Learning Effective Exploration Strategies For Contextual Bandits | Sep 25, 2019 | Imitation LearningLearning-To-Rank | —Unverified | 0 |
| Data Valuation using Reinforcement Learning | Sep 25, 2019 | Data ValuationDomain Adaptation | CodeCode Available | 0 |
| Efficient meta reinforcement learning via meta goal generation | Sep 25, 2019 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |
| Few-Shot Regression via Learning Sparsifying Basis Functions | Sep 25, 2019 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion | Sep 25, 2019 | Few-Shot LearningKnowledge Graph Completion | CodeCode Available | 0 |
| Localized Generations with Deep Neural Networks for Multi-Scale Structured Datasets | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
| Decoder Choice Network for Meta-Learning | Sep 25, 2019 | DecoderEnsemble Learning | CodeCode Available | 0 |
| Semi-Supervised Few-Shot Learning with a Controlled Degree of Task-Adaptive Conditioning | Sep 25, 2019 | ClusteringFew-Shot Learning | —Unverified | 0 |
| Decoupling Adaptation from Modeling with Meta-Optimizers for Meta Learning | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
| Role of two learning rates in convergence of model-agnostic meta-learning | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
| NORML: Nodal Optimization for Recurrent Meta-Learning | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
| Meta-Learning for Variational Inference | Sep 25, 2019 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| ES-MAML: Simple Hessian-Free Meta Learning | Sep 25, 2019 | Meta-Learning | CodeCode Available | 0 |
| A Data-Efficient Mutual Information Neural Estimator for Statistical Dependency Testing | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
| Meta-Learning Runge-Kutta | Sep 25, 2019 | Meta-LearningNumerical Integration | —Unverified | 0 |
| Meta Learning via Learned Loss | Sep 25, 2019 | Meta-Learningreinforcement-learning | —Unverified | 0 |
| Hidden incentives for self-induced distributional shift | Sep 25, 2019 | BIG-bench Machine LearningMeta-Learning | —Unverified | 0 |
| Meta-RCNN: Meta Learning for Few-Shot Object Detection | Sep 25, 2019 | Cross-Domain Few-Shot Object DetectionFew-Shot Object Detection | —Unverified | 0 |
| Localized Meta-Learning: A PAC-Bayes Analysis for Meta-Leanring Beyond Global Prior | Sep 25, 2019 | Meta-Learning | —Unverified | 0 |
