| A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network | Dec 1, 2020 | Meta-Learning | —Unverified | 0 |
| Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning | Dec 1, 2020 | Continual LearningMeta-Learning | —Unverified | 0 |
| Adversarial Attacks on Deep Graph Matching | Dec 1, 2020 | Adversarial AttackDensity Estimation | —Unverified | 0 |
| Look-ahead Meta Learning for Continual Learning | Dec 1, 2020 | Continual LearningMeta-Learning | CodeCode Available | 1 |
| OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification | Dec 1, 2020 | Few-Shot LearningGeneral Classification | —Unverified | 0 |
| Information Maximization for Few-Shot Learning | Dec 1, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| A Closer Look at the Training Strategy for Modern Meta-Learning | Dec 1, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning | Dec 1, 2020 | Meta-Learning | CodeCode Available | 0 |
| MATE: Plugging in Model Awareness to Task Embedding for Meta Learning | Dec 1, 2020 | feature selectionFew-Shot Learning | CodeCode Available | 0 |
| Differentiable Meta-Learning of Bandit Policies | Dec 1, 2020 | Meta-Learning | —Unverified | 0 |
| Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach | Dec 1, 2020 | Federated LearningMeta-Learning | —Unverified | 0 |
| Meta-learning from Tasks with Heterogeneous Attribute Spaces | Dec 1, 2020 | AttributeMeta-Learning | CodeCode Available | 0 |
| Meta learning to classify intent and slot labels with noisy few shot examples | Nov 30, 2020 | Benchmarkingintent-classification | —Unverified | 0 |
| Meta Batch-Instance Normalization for Generalizable Person Re-Identification | Nov 30, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 |
| Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks | Nov 30, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Is Support Set Diversity Necessary for Meta-Learning? | Nov 28, 2020 | DiversityFew-Shot Learning | —Unverified | 0 |
| Connecting Context-specific Adaptation in Humans to Meta-learning | Nov 27, 2020 | Meta-Learning | —Unverified | 0 |
| Meta-learning in natural and artificial intelligence | Nov 26, 2020 | Meta-Learning | —Unverified | 0 |
| MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning | Nov 25, 2020 | Meta-LearningQuantization | —Unverified | 0 |
| Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning | Nov 24, 2020 | BIG-bench Machine LearningGraph Neural Network | —Unverified | 0 |
| Double Meta-Learning for Data Efficient Policy Optimization in Non-Stationary Environments | Nov 21, 2020 | Meta-LearningMeta Reinforcement Learning | —Unverified | 0 |
| Two-Step Meta-Learning for Time-Series Forecasting Ensemble | Nov 20, 2020 | DiversityMeta-Learning | —Unverified | 0 |
| Meta Variational Monte Carlo | Nov 20, 2020 | Meta-LearningVariational Monte Carlo | —Unverified | 0 |
| Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning | Nov 19, 2020 | Data AugmentationFew-Shot Learning | —Unverified | 0 |
| Finding the Homology of Decision Boundaries with Active Learning | Nov 19, 2020 | Active LearningMeta-Learning | CodeCode Available | 0 |
