| MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution | May 22, 2021 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 |
| Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation | Jun 13, 2024 | Blind Super-ResolutionImage Super-Resolution | CodeCode Available | 1 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 |
| Data Augmentation for Meta-Learning | Oct 14, 2020 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 |
| Boosting Few-Shot Classification with View-Learnable Contrastive Learning | Jul 20, 2021 | ClassificationContrastive Learning | CodeCode Available | 1 |
| Multilingual and cross-lingual document classification: A meta-learning approach | Jan 27, 2021 | Cross-Lingual Document ClassificationDocument Classification | CodeCode Available | 1 |
| Multi-Modal Few-Shot Temporal Action Detection | Nov 27, 2022 | Action DetectionFew-Shot Object Detection | CodeCode Available | 1 |
| Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator | Dec 13, 2022 | AutoMLFairness | CodeCode Available | 1 |
| Multiple Meta-model Quantifying for Medical Visual Question Answering | May 19, 2021 | Medical Visual Question AnsweringMeta-Learning | CodeCode Available | 1 |
| CURI: A Benchmark for Productive Concept Learning Under Uncertainty | Oct 6, 2020 | Meta-LearningSystematic Generalization | CodeCode Available | 1 |
| Neural Fixed-Point Acceleration for Convex Optimization | Jul 21, 2021 | Meta-Learning | CodeCode Available | 1 |
| Amortized Probabilistic Conditioning for Optimization, Simulation and Inference | Oct 20, 2024 | Bayesian OptimizationMeta-Learning | CodeCode Available | 1 |
| Neural Interactive Collaborative Filtering | Jul 4, 2020 | Collaborative FilteringMeta-Learning | CodeCode Available | 1 |
| Adaptive Subspaces for Few-Shot Learning | Jun 1, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 |
| Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding | Jul 6, 2020 | General ClassificationGraph structure learning | CodeCode Available | 1 |
| N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning | Dec 25, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| A contrastive rule for meta-learning | Apr 4, 2021 | Meta-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 |
| Nystrom Method for Accurate and Scalable Implicit Differentiation | Feb 20, 2023 | Bilevel OptimizationHyperparameter Optimization | CodeCode Available | 1 |
| Offline Meta Learning of Exploration | Aug 6, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| Adaptive Transfer Learning on Graph Neural Networks | Jul 19, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 |
| Cross-Market Product Recommendation | Sep 13, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 1 |
