| Online Depth Learning Against Forgetting in Monocular Videos | Jun 1, 2020 | Depth EstimationMeta-Learning | —Unverified | 0 |
| Learning to Optimize on SPD Manifolds | Jun 1, 2020 | ClusteringMeta-Learning | —Unverified | 0 |
| Deep Metric Learning via Adaptive Learnable Assessment | Jun 1, 2020 | ClusteringImage Retrieval | —Unverified | 0 |
| Learning to Learn Cropping Models for Different Aspect Ratio Requirements | Jun 1, 2020 | Image CroppingMeta-Learning | CodeCode Available | 0 |
| Adaptive Subspaces for Few-Shot Learning | Jun 1, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| When Does MAML Objective Have Benign Landscape? | May 31, 2020 | Decision MakingMeta-Learning | —Unverified | 0 |
| MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction | May 30, 2020 | Computed Tomography (CT)Image Reconstruction | —Unverified | 0 |
| High-order structure preserving graph neural network for few-shot learning | May 29, 2020 | Few-Shot LearningGraph Neural Network | CodeCode Available | 0 |
| Boosting Few-Shot Learning With Adaptive Margin Loss | May 28, 2020 | Few-Shot Image ClassificationFew-Shot Learning | —Unverified | 0 |
| Algorithm Selection Framework for Cyber Attack Detection | May 28, 2020 | Cyber Attack DetectionMeta-Learning | —Unverified | 0 |
| Looking back to lower-level information in few-shot learning | May 27, 2020 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Few-Shot Open-Set Recognition using Meta-Learning | May 27, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| How to Retrain Recommender System? A Sequential Meta-Learning Method | May 27, 2020 | Meta-LearningRecommendation Systems | CodeCode Available | 1 |
| Towards intervention-centric causal reasoning in learning agents | May 26, 2020 | Deep Reinforcement LearningMeta-Learning | —Unverified | 0 |
| Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks | May 25, 2020 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |
| When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications | May 24, 2020 | Few-Shot Text ClassificationLanguage Modeling | —Unverified | 0 |
| Adaptive Reinforcement Learning through Evolving Self-Modifying Neural Networks | May 22, 2020 | Meta-Learningreinforcement-learning | —Unverified | 0 |
| A Concise Review of Recent Few-shot Meta-learning Methods | May 22, 2020 | Meta-Learning | —Unverified | 0 |
| Cross-Domain Few-Shot Learning with Meta Fine-Tuning | May 21, 2020 | Cross-Domain Few-Shotcross-domain few-shot learning | —Unverified | 0 |
| Multitask Learning with Single Gradient Step Update for Task Balancing | May 20, 2020 | Meta-Learning | —Unverified | 0 |
| A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity | May 20, 2020 | feature selectionMeta-Learning | —Unverified | 0 |
| An Analysis of the Adaptation Speed of Causal Models | May 18, 2020 | Meta-LearningStochastic Optimization | CodeCode Available | 1 |
| Meta-learning with Stochastic Linear Bandits | May 18, 2020 | Meta-Learning | —Unverified | 0 |
| Self-Supervised Deep Visual Odometry with Online Adaptation | May 13, 2020 | Meta-LearningVisual Odometry | —Unverified | 0 |
| Dynamic Memory Induction Networks for Few-Shot Text Classification | May 12, 2020 | ClassificationFew-Shot Learning | —Unverified | 0 |
