| Metalic: Meta-Learning In-Context with Protein Language Models | Oct 10, 2024 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning | Sep 16, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning | Mar 26, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn | May 12, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World | Jan 1, 2024 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 |
| MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures | Jun 13, 2020 | Meta-LearningTransfer Learning | CodeCode Available | 1 |
| MetaPoison: Practical General-purpose Clean-label Data Poisoning | Apr 1, 2020 | AutoMLBilevel Optimization | CodeCode Available | 1 |
| Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection | Mar 30, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 |
| Meta Propagation Networks for Graph Few-shot Semi-supervised Learning | Dec 18, 2021 | Graph LearningMeta-Learning | CodeCode Available | 1 |
| Meta Pseudo Labels | Mar 23, 2020 | Image ClassificationMeta-Learning | CodeCode Available | 1 |
| Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization | Jun 5, 2023 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 |
| Adaptive Risk Minimization: Learning to Adapt to Domain Shift | Jul 6, 2020 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 1 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation | Feb 17, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning | Apr 8, 2020 | Automatic Sleep Stage ClassificationMeta-Learning | CodeCode Available | 1 |
| Meta Soft Label Generation for Noisy Labels | Jul 11, 2020 | Meta-Learning | CodeCode Available | 1 |
| DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | Mar 16, 2020 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 1 |
| A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder | May 31, 2025 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| Meta-Transfer Learning for Zero-Shot Super-Resolution | Feb 27, 2020 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 |
| Meta-Transfer Learning through Hard Tasks | Oct 7, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Contrastive Meta-Learning for Partially Observable Few-Shot Learning | Jan 30, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| MetaWeather: Few-Shot Weather-Degraded Image Restoration | Aug 28, 2023 | Image RestorationMeta-Learning | CodeCode Available | 1 |
| DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning | May 13, 2023 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 |
| 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 |
