| Discovering Reinforcement Learning Algorithms | Jul 17, 2020 | Atari GamesMeta-Learning | CodeCode Available | 1 | 5 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 | 5 |
| Learning to Purify Noisy Labels via Meta Soft Label Corrector | Aug 3, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| Towards Task Sampler Learning for Meta-Learning | Jul 18, 2023 | DiversityFew-Shot Learning | CodeCode Available | 1 | 5 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 | 5 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media | Dec 1, 2021 | Knowledge DistillationMarketing | CodeCode Available | 1 | 5 |
| BOIL: Towards Representation Change for Few-shot Learning | Aug 20, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Efficient Domain Generalization via Common-Specific Low-Rank Decomposition | Mar 28, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 | 5 |
| Domain-General Crowd Counting in Unseen Scenarios | Dec 5, 2022 | Crowd CountingDisentanglement | CodeCode Available | 1 | 5 |
| Domain Adaptive Few-Shot Open-Set Learning | Sep 22, 2023 | cross-domain few-shot learningFew-Shot Learning | CodeCode Available | 1 | 5 |
| Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging | Aug 18, 2020 | Computed Tomography (CT)Domain Generalization | CodeCode Available | 1 | 5 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Few-shot Learning with LSSVM Base Learner and Transductive Modules | Sep 12, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Improving Generalization in Meta-learning via Task Augmentation | Jul 26, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Network Anomaly Detection via Cross-network Meta-learning | Feb 22, 2021 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 1 | 5 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 | 5 |
| DPGN: Distribution Propagation Graph Network for Few-shot Learning | Mar 31, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning | Sep 8, 2021 | MemorizationMeta-Learning | CodeCode Available | 1 | 5 |
| MAML is a Noisy Contrastive Learner in Classification | Jun 29, 2021 | ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning | Jun 18, 2023 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy | Jun 28, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation | Oct 23, 2021 | Few-Shot LearningFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Editing Factual Knowledge in Language Models | Apr 16, 2021 | Fact CheckingMeta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Relational Reasoning via Connection Subgraph Pretraining | Oct 13, 2022 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
