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| Data Augmentation for Meta-Learning | Oct 14, 2020 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
| Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment | Feb 23, 2025 | Cross-Domain Few-ShotCross-Domain Few-Shot Object Detection | CodeCode Available | 1 |
| Copolymer Informatics with Multi-Task Deep Neural Networks | Mar 25, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Cross-Domain Few-Shot Semantic Segmentation | Mar 24, 2022 | Cross-Domain Few-ShotFew-Shot Semantic Segmentation | 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 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
| Cross-Market Product Recommendation | Sep 13, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 1 |
| CURI: A Benchmark for Productive Concept Learning Under Uncertainty | Oct 6, 2020 | Meta-LearningSystematic Generalization | CodeCode Available | 1 |
| Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning | Jun 9, 2022 | Meta-Learning | CodeCode Available | 1 |
| DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning | May 13, 2023 | Data AugmentationMeta-Learning | CodeCode Available | 1 |
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| Contrastive Meta Learning with Behavior Multiplicity for Recommendation | Feb 17, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | 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 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
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| Adaptive Subspaces for Few-Shot Learning | Jun 1, 2020 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 |
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| Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation | Jun 13, 2024 | Blind Super-ResolutionImage Super-Resolution | CodeCode Available | 1 |
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| A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark | Oct 24, 2021 | ClassificationMeta-Learning | CodeCode Available | 1 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 |
| BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring | May 31, 2021 | DeblurringImage Defocus Deblurring | CodeCode Available | 1 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | CodeCode Available | 1 |
| Automating Outlier Detection via Meta-Learning | Sep 22, 2020 | Anomaly DetectionAutoML | CodeCode Available | 1 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 |
| AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere | Apr 24, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 |
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement | Dec 25, 2023 | Meta-Learning | CodeCode Available | 1 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine 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 |
| Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning | Nov 30, 2021 | 3D Human Pose EstimationCamera Calibration | CodeCode Available | 1 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 |
| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | CodeCode Available | 1 |
| A Channel Coding Benchmark for Meta-Learning | Jul 15, 2021 | Meta-Learning | CodeCode Available | 1 |