| BOIL: Towards Representation Change for Few-shot Learning | Aug 20, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
| Learning Meta Face Recognition in Unseen Domains | Mar 17, 2020 | Face RecognitionMeta-Learning | CodeCode Available | 1 | 5 |
| A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries | Apr 3, 2025 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| Concept Learners for Few-Shot Learning | Jul 14, 2020 | Few-Shot LearningFine-Grained Image Classification | CodeCode Available | 1 | 5 |
| Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion | Dec 11, 2023 | Meta-LearningTask Arithmetic | CodeCode Available | 1 | 5 |
| A picture of the space of typical learnable tasks | Oct 31, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting | Jun 16, 2023 | Incremental LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Domain-General Crowd Counting in Unseen Scenarios | Dec 5, 2022 | Crowd CountingDisentanglement | CodeCode Available | 1 | 5 |
| Improving Generalization in Meta-learning via Task Augmentation | Jul 26, 2020 | Meta-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 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition | May 7, 2021 | Adversarial AttackFace Generation | 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 |
| Few-Shot Unsupervised Continual Learning through Meta-Examples | Sep 17, 2020 | ClusteringContinual Learning | CodeCode Available | 1 | 5 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 | 5 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Dynamic Relevance Learning for Few-Shot Object Detection | Aug 4, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV | Jan 27, 2022 | Meta-Learning | CodeCode Available | 1 | 5 |
| Meta Internal Learning | Oct 6, 2021 | Image GenerationMeta-Learning | CodeCode Available | 1 | 5 |
| Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data | Jun 14, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation | Feb 8, 2022 | Meta-Learning | CodeCode Available | 1 | 5 |
| Meta-Learned Models of Cognition | Apr 12, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 1 | 5 |
| Learning from Noisy Labels with Decoupled Meta Label Purifier | Feb 14, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Learning Neural Causal Models from Unknown Interventions | Oct 2, 2019 | Meta-Learning | CodeCode Available | 1 | 5 |
