| La-MAML: Look-ahead Meta Learning for Continual Learning | Jul 27, 2020 | Continual LearningMeta-Learning | 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 |
| Laplacian Regularized Few-Shot Learning | Jun 29, 2020 | ClusteringFew-Shot Image Classification | CodeCode Available | 1 | 5 |
| Learning to Stop While Learning to Predict | Jun 9, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| LEAF: A Benchmark for Federated Settings | Dec 3, 2018 | Autonomous VehiclesBenchmarking | CodeCode Available | 1 | 5 |
| CURI: A Benchmark for Productive Concept Learning Under Uncertainty | Oct 6, 2020 | Meta-LearningSystematic Generalization | CodeCode Available | 1 | 5 |
| Editing Factual Knowledge in Language Models | Apr 16, 2021 | Fact CheckingMeta-Learning | CodeCode Available | 1 | 5 |
| Learning with AMIGo: Adversarially Motivated Intrinsic Goals | Jun 22, 2020 | Meta-LearningReinforcement Learning (RL) | CodeCode Available | 1 | 5 |
| Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition | Oct 20, 2020 | Action RecognitionFew Shot Action Recognition | CodeCode Available | 1 | 5 |
| DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | Mar 16, 2020 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Deep Random Projector: Accelerated Deep Image Prior | Jan 1, 2023 | DenoisingImage Denoising | CodeCode Available | 1 | 5 |
| Concept Learners for Few-Shot Learning | Jul 14, 2020 | Few-Shot LearningFine-Grained Image Classification | CodeCode Available | 1 | 5 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 | 5 |
| Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation | Jun 19, 2021 | Meta-LearningSemantic Segmentation | CodeCode Available | 1 | 5 |
| m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter | Oct 21, 2022 | Domain AdaptationMachine Translation | CodeCode Available | 1 | 5 |
| MAML is a Noisy Contrastive Learner in Classification | Jun 29, 2021 | ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Direct Differentiable Augmentation Search | Apr 9, 2021 | AutoMLData Augmentation | CodeCode Available | 1 | 5 |
| Massive Editing for Large Language Models via Meta Learning | Nov 8, 2023 | Fact CheckingLanguage Modeling | CodeCode Available | 1 | 5 |
| MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields | Feb 20, 2025 | Medical Image AnalysisMeta-Learning | CodeCode Available | 1 | 5 |
| MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning | Mar 26, 2021 | Deep Reinforcement LearningGeneral Classification | CodeCode Available | 1 | 5 |
| Adversarial Feature Augmentation for Cross-domain Few-shot Classification | Aug 23, 2022 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | Sep 7, 2022 | Long-tail LearningMeta-Learning | CodeCode Available | 1 | 5 |
| DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems | Oct 8, 2022 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Diffusion-Based Neural Network Weights Generation | Feb 28, 2024 | Meta-LearningRepresentation 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 |
