| Graph Few-shot Class-incremental Learning | Dec 23, 2021 | class-incremental learningClass Incremental Learning | CodeCode Available | 1 | 5 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
| Graph Prototypical Networks for Few-shot Learning on Attributed Networks | Jun 23, 2020 | ClassificationDrug Discovery | CodeCode Available | 1 | 5 |
| Graph Sampling-based Meta-Learning for Molecular Property Prediction | Jun 29, 2023 | Graph SamplingMeta-Learning | CodeCode Available | 1 | 5 |
| Grounded Language Learning Fast and Slow | Sep 3, 2020 | Grounded language learningMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Risk Minimization: Learning to Adapt to Domain Shift | Jul 6, 2020 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 1 | 5 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder | May 31, 2025 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Copolymer Informatics with Multi-Task Deep Neural Networks | Mar 25, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| Contrastive Meta-Learning for Partially Observable Few-Shot Learning | Jan 30, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning | Jun 16, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 | 5 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation | Feb 17, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 | 5 |
| Data Augmentation for Meta-Learning | Oct 14, 2020 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning | Jul 15, 2020 | Data AugmentationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment | Feb 23, 2025 | Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection | CodeCode Available | 1 | 5 |
| Amortized Probabilistic Conditioning for Optimization, Simulation and Inference | Oct 20, 2024 | Bayesian OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive Subspaces for Few-Shot Learning | Jun 1, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Cross-Market Product Recommendation | Sep 13, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 1 | 5 |
| A contrastive rule for meta-learning | Apr 4, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| CURI: A Benchmark for Productive Concept Learning Under Uncertainty | Oct 6, 2020 | Meta-LearningSystematic Generalization | CodeCode Available | 1 | 5 |
| Discovering Minimal Reinforcement Learning Environments | Jun 18, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Discovering Temporally-Aware Reinforcement Learning Algorithms | Feb 8, 2024 | Meta-Learningreinforcement-learning | CodeCode Available | 1 | 5 |
