| The Gaussian Neural Process | Jan 10, 2021 | Meta-LearningTranslation | CodeCode Available | 1 |
| Evolving Reinforcement Learning Algorithms | Jan 8, 2021 | Atari GamesMeta-Learning | CodeCode Available | 1 |
| Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition | Jan 8, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 |
| Few-Shot Learning with Class Imbalance | Jan 7, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Curriculum-Meta Learning for Order-Robust Continual Relation Extraction | Jan 6, 2021 | Continual Relation ExtractionMeta-Learning | CodeCode Available | 1 |
| MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding | Jan 6, 2021 | Knowledge DistillationMeta-Learning | —Unverified | 0 |
| MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control | Jan 4, 2021 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 1 |
| Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier | Jan 3, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
| Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization | Jan 3, 2021 | Bayesian OptimizationMeta-Learning | —Unverified | 0 |
| Context-Aware Safe Reinforcement Learning for Non-Stationary Environments | Jan 2, 2021 | Meta-Learningreinforcement-learning | —Unverified | 0 |
| Z-Score Normalization, Hubness, and Few-Shot Learning | Jan 1, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition | Jan 1, 2021 | Face RecognitionMeta-Learning | —Unverified | 0 |
| Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack | Jan 1, 2021 | Adversarial AttackFew-Shot Learning | —Unverified | 0 |
| Task-Aware Part Mining Network for Few-Shot Learning | Jan 1, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning | Jan 1, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 0 |
| Towards Robust Graph Neural Networks against Label Noise | Jan 1, 2021 | AttributeLearning with noisy labels | —Unverified | 0 |
| To Learn Effective Features: Understanding the Task-Specific Adaptation of MAML | Jan 1, 2021 | Contrastive LearningMeta-Learning | —Unverified | 0 |
| Task Calibration for Distributional Uncertainty in Few-Shot Classification | Jan 1, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Robust Meta-learning with Noise via Eigen-Reptile | Jan 1, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Semantic Inference Network for Few-shot Streaming Label Learning | Jan 1, 2021 | Meta-LearningMulti-Label Classification | —Unverified | 0 |
| Auto-view contrastive learning for few-shot image recognition | Jan 1, 2021 | Contrastive LearningFew-Shot Learning | —Unverified | 0 |
| A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning | Jan 1, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory | Jan 1, 2021 | Meta-LearningUncertainty Quantification | —Unverified | 0 |
| Meta-Learned Confidence for Transductive Few-shot Learning | Jan 1, 2021 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 |
