| Adaptable Text Matching via Meta-Weight Regulator | Apr 27, 2022 | Meta-LearningNatural Language Inference | —Unverified | 0 |
| Meta-free few-shot learning via representation learning with weight averaging | Apr 26, 2022 | ClassificationFew-Shot Learning | —Unverified | 0 |
| Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification | Apr 26, 2022 | Few-Shot LearningMeta-Learning | —Unverified | 0 |
| Reinforcement Teaching | Apr 25, 2022 | Meta-Learning | —Unverified | 0 |
| Skill-based Meta-Reinforcement Learning | Apr 25, 2022 | continuous-controlContinuous Control | —Unverified | 0 |
| Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition | Apr 22, 2022 | DiversityFine-Grained Image Classification | —Unverified | 0 |
| Learning to Scaffold: Optimizing Model Explanations for Teaching | Apr 22, 2022 | Meta-Learningmodel | CodeCode Available | 1 |
| Few-shot learning for medical text: A systematic review | Apr 21, 2022 | ArticlesFew-Shot Learning | —Unverified | 0 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks | Apr 18, 2022 | AutoMLBIG-bench Machine Learning | —Unverified | 0 |
| Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting | Apr 16, 2022 | Few-Shot LearningFew-Shot Object Detection | —Unverified | 0 |
| Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference | Apr 15, 2022 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| MetaSets: Meta-Learning on Point Sets for Generalizable Representations | Apr 15, 2022 | Domain GeneralizationMeta-Learning | —Unverified | 0 |
| Self-Guided Learning to Denoise for Robust Recommendation | Apr 14, 2022 | DenoisingMemorization | CodeCode Available | 1 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 |
| Learning Task-Aware Energy Disaggregation: a Federated Approach | Apr 14, 2022 | Federated LearningMeta-Learning | CodeCode Available | 0 |
| DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization | Apr 12, 2022 | Knowledge DistillationMeta-Learning | —Unverified | 0 |
| Decomposed Meta-Learning for Few-Shot Named Entity Recognition | Apr 12, 2022 | Entity TypingFew-shot NER | CodeCode Available | 2 |
| A Simple Approach to Adversarial Robustness in Few-shot Image Classification | Apr 11, 2022 | Adversarial RobustnessFew-Shot Image Classification | CodeCode Available | 0 |
| MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification | Apr 11, 2022 | Few-Shot LearningFew-Shot Text Classification | —Unverified | 0 |
| Neuronal diversity can improve machine learning for physics and beyond | Apr 9, 2022 | Diversityimage-classification | CodeCode Available | 0 |
| Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning | Apr 8, 2022 | Computational EfficiencyContinual Learning | CodeCode Available | 0 |
| Interval Bound Interpolation for Few-shot Learning with Few Tasks | Apr 7, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Pin the Memory: Learning to Generalize Semantic Segmentation | Apr 7, 2022 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection | Apr 5, 2022 | Anomaly DetectionDensity Estimation | —Unverified | 0 |
