| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 |
| Few-Shot Learning with a Strong Teacher | Jul 1, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | Sep 7, 2022 | Long-tail LearningMeta-Learning | CodeCode Available | 1 |
| Few-shot Learning with LSSVM Base Learner and Transductive Modules | Sep 12, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems | Oct 8, 2022 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 |
| Few-shot Network Anomaly Detection via Cross-network Meta-learning | Feb 22, 2021 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 1 |
| Few-shot Object Detection via Feature Reweighting | Dec 5, 2018 | Few-Shot LearningFew-Shot Object Detection | CodeCode Available | 1 |
| Few-Shot Object Detection via Variational Feature Aggregation | Jan 31, 2023 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 |
| Few-shot Scene-adaptive Anomaly Detection | Jul 15, 2020 | Anomaly DetectionMeta-Learning | CodeCode Available | 1 |
| Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning | Feb 1, 2020 | Crowd CountingMeta-Learning | CodeCode Available | 1 |
| Few-shot Text Classification with Distributional Signatures | Aug 16, 2019 | ClassificationFew-Shot Text Classification | CodeCode Available | 1 |
| Induction Networks for Few-Shot Text Classification | Feb 27, 2019 | Few-Shot Text ClassificationGeneral Classification | CodeCode Available | 1 |
| DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction | Mar 16, 2020 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 1 |
| Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation | Jun 19, 2021 | Meta-LearningSemantic Segmentation | CodeCode Available | 1 |
| First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs | Jul 5, 2023 | Meta-LearningReinforcement Learning (RL) | CodeCode Available | 1 |
| FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification | Jun 17, 2022 | Federated LearningFew-Shot Learning | CodeCode Available | 1 |
| From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems | Jan 5, 2020 | BIG-bench Machine LearningInductive Bias | 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 |
| FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real Users | Feb 26, 2025 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| Fuzzy Graph Neural Network for Few-Shot Learning | Jul 19, 2020 | Few-Shot LearningGraph Neural Network | CodeCode Available | 1 |
| Adversarial Feature Augmentation for Cross-domain Few-shot Classification | Aug 23, 2022 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
| Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization | Aug 18, 2023 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| Generalizable No-Reference Image Quality Assessment via Deep Meta-learning | Apr 15, 2021 | Image Quality AssessmentMeta-Learning | CodeCode Available | 1 |
| Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation | Jul 21, 2023 | Image SegmentationMedical Image Segmentation | CodeCode Available | 1 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 |
