| Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition | Oct 20, 2020 | Action RecognitionFew Shot Action Recognition | CodeCode Available | 1 | 5 |
| MAML is a Noisy Contrastive Learner in Classification | Jun 29, 2021 | ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Deep Random Projector: Accelerated Deep Image Prior | Jan 1, 2023 | DenoisingImage Denoising | CodeCode Available | 1 | 5 |
| An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling | Sep 27, 2021 | Few-shot NERMeta-Learning | CodeCode Available | 1 | 5 |
| Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning | Mar 30, 2018 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Massive Editing for Large Language Models via Meta Learning | Nov 8, 2023 | Fact CheckingLanguage Modeling | 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 |
| Diffusion-Based Neural Network Weights Generation | Feb 28, 2024 | Meta-LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | Mar 16, 2020 | Deep Reinforcement LearningMeta-Learning | 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 |
| Memory Efficient Meta-Learning with Large Images | Jul 2, 2021 | Few-Shot Image ClassificationGPU | CodeCode Available | 1 | 5 |
| Learning Quickly to Plan Quickly Using Modular Meta-Learning | Sep 20, 2018 | Meta-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 |
| Direct Differentiable Augmentation Search | Apr 9, 2021 | AutoMLData Augmentation | CodeCode Available | 1 | 5 |
| Meta Adversarial Training against Universal Patches | Jan 27, 2021 | Autonomous Drivingimage-classification | CodeCode Available | 1 | 5 |
| Learning Normal Dynamics in Videos with Meta Prototype Network | Apr 14, 2021 | Anomaly DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning | Sep 19, 2022 | Meta-Learning | CodeCode Available | 1 | 5 |
| Discovering Minimal Reinforcement Learning Environments | Jun 18, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Discovering modular solutions that generalize compositionally | Dec 22, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
| Adversarial Feature Augmentation for Cross-domain Few-shot Classification | Aug 23, 2022 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| Discovering Temporally-Aware Reinforcement Learning Algorithms | Feb 8, 2024 | Meta-Learningreinforcement-learning | CodeCode Available | 1 | 5 |
| Learning to Adapt to Evolving Domains | Dec 1, 2020 | Domain AdaptationMeta-Learning | CodeCode Available | 1 | 5 |
| Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error | Jun 17, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction | May 19, 2021 | Click-Through Rate PredictionMeta-Learning | CodeCode Available | 1 | 5 |
| BOIL: Towards Representation Change for Few-shot Learning | Aug 20, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
| Learning Meta Face Recognition in Unseen Domains | Mar 17, 2020 | Face RecognitionMeta-Learning | CodeCode Available | 1 | 5 |
| A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries | Apr 3, 2025 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| Concept Learners for Few-Shot Learning | Jul 14, 2020 | Few-Shot LearningFine-Grained Image Classification | 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 |
| A picture of the space of typical learnable tasks | Oct 31, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting | Jun 16, 2023 | Incremental LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Domain-General Crowd Counting in Unseen Scenarios | Dec 5, 2022 | Crowd CountingDisentanglement | CodeCode Available | 1 | 5 |
| Improving Generalization in Meta-learning via Task Augmentation | Jul 26, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging | Aug 18, 2020 | Computed Tomography (CT)Domain Generalization | CodeCode Available | 1 | 5 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition | May 7, 2021 | Adversarial AttackFace Generation | CodeCode Available | 1 | 5 |
| DPGN: Distribution Propagation Graph Network for Few-shot Learning | Mar 31, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning | Sep 8, 2021 | MemorizationMeta-Learning | CodeCode Available | 1 | 5 |
| Few-Shot Unsupervised Continual Learning through Meta-Examples | Sep 17, 2020 | ClusteringContinual Learning | CodeCode Available | 1 | 5 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 | 5 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 | 5 |
| Dynamic Relevance Learning for Few-Shot Object Detection | Aug 4, 2021 | Few-Shot Object DetectionMeta-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 |
| Meta Internal Learning | Oct 6, 2021 | Image GenerationMeta-Learning | CodeCode Available | 1 | 5 |
| Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data | Jun 14, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| MetaKG: Meta-learning on Knowledge Graph for Cold-start Recommendation | Feb 8, 2022 | Meta-Learning | CodeCode Available | 1 | 5 |
| Meta-Learned Models of Cognition | Apr 12, 2023 | Bayesian InferenceMeta-Learning | CodeCode Available | 1 | 5 |
| Learning from Noisy Labels with Decoupled Meta Label Purifier | Feb 14, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Learning Neural Causal Models from Unknown Interventions | Oct 2, 2019 | Meta-Learning | CodeCode Available | 1 | 5 |
