| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 |
| Boosting Few-Shot Classification with View-Learnable Contrastive Learning | Jul 20, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 |
| Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation | Jun 16, 2021 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 |
| CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection | Oct 11, 2022 | Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection | CodeCode Available | 1 |
| A General Descent Aggregation Framework for Gradient-based Bi-level Optimization | Feb 16, 2021 | Meta-Learning | CodeCode Available | 1 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition | May 7, 2021 | Adversarial AttackFace Generation | CodeCode Available | 1 |
| 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets | Feb 14, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Contrastive Meta-Learning for Partially Observable Few-Shot Learning | Jan 30, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation | Feb 17, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| Copolymer Informatics with Multi-Task Deep Neural Networks | Mar 25, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| 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 |
| Cross-Domain Few-Shot Semantic Segmentation | Mar 24, 2022 | Cross-Domain Few-ShotFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| A Channel Coding Benchmark for Meta-Learning | Jul 15, 2021 | Meta-Learning | CodeCode Available | 1 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 |
| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | CodeCode Available | 1 |
| AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere | Apr 24, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 |
| Automating Outlier Detection via Meta-Learning | Sep 22, 2020 | Anomaly DetectionAutoML | CodeCode Available | 1 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
