| Few-shot Learning with LSSVM Base Learner and Transductive Modules | Sep 12, 2020 | Few-Shot LearningMeta-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 |
| Few-shot Object Detection via Feature Reweighting | Dec 5, 2018 | Few-Shot LearningFew-Shot Object Detection | CodeCode Available | 1 |
| Few-Shot One-Class Classification via Meta-Learning | Jul 8, 2020 | Anomaly DetectionClassification | CodeCode Available | 1 |
| Few-Shot Open-Set Recognition using Meta-Learning | May 27, 2020 | ClassificationGeneral Classification | 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 |
| Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion | Dec 11, 2023 | Meta-LearningTask Arithmetic | CodeCode Available | 1 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | 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 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 |
| A Structured Dictionary Perspective on Implicit Neural Representations | Dec 3, 2021 | Dictionary LearningInductive Bias | CodeCode Available | 1 |
| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | 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 |
| Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV | Jan 27, 2022 | Meta-Learning | CodeCode Available | 1 |
| A Broader Study of Cross-Domain Few-Shot Learning | Dec 16, 2019 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 |
| Generalising via Meta-Examples for Continual Learning in the Wild | Jan 28, 2021 | Continual LearningFew-Shot Learning | CodeCode Available | 1 |
| Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization | Aug 18, 2023 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| Generalizable Implicit Neural Representations via Instance Pattern Composers | Nov 23, 2022 | Meta-Learning | CodeCode Available | 1 |
| Concept Learners for Few-Shot Learning | Jul 14, 2020 | Few-Shot LearningFine-Grained Image Classification | CodeCode Available | 1 |
| Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning | Dec 8, 2022 | Cancer ClassificationContrastive Learning | CodeCode Available | 1 |
| GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions | Jun 6, 2022 | Meta-LearningObject | CodeCode Available | 1 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 |
