| A Simple Approach to Case-Based Reasoning in Knowledge Bases | Jun 25, 2020 | Knowledge GraphsMeta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Object Detection via Feature Reweighting | Dec 5, 2018 | Few-Shot LearningFew-Shot Object Detection | CodeCode Available | 1 | 5 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| MotherNet: Fast Training and Inference via Hyper-Network Transformers | Dec 14, 2023 | ClassificationIn-Context Learning | CodeCode Available | 1 | 5 |
| Few-shot Relational Reasoning via Connection Subgraph Pretraining | Oct 13, 2022 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Learning to Propagate for Graph Meta-Learning | Sep 11, 2019 | Dataset GenerationFew-Shot Image Classification | CodeCode Available | 0 | 5 |
| A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness | Dec 28, 2024 | Bilevel OptimizationMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning | May 25, 2018 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Words from Visual Scenes | Nov 25, 2019 | Language AcquisitionLanguage Modelling | CodeCode Available | 0 | 5 |
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| Learning to Multi-Task by Active Sampling | Feb 20, 2017 | Active LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Rasterize Differentiably | Nov 23, 2022 | Inverse RenderingMeta-Learning | CodeCode Available | 0 | 5 |
| Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization | Aug 2, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning | Jan 1, 2021 | Domain AdaptationMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Kernels with Variational Random Features | Jun 11, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Single Domain Generalization | Mar 30, 2020 | Domain GeneralizationMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Transferable Attack | Dec 10, 2021 | Adversarial AttackData Augmentation | CodeCode Available | 0 | 5 |
| Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset | Apr 2, 2019 | General ClassificationMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn from Noisy Labeled Data | Dec 13, 2018 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Learning to learn ecosystems from limited data -- a meta-learning approach | Oct 2, 2024 | Meta-LearningPrediction | CodeCode Available | 0 | 5 |
| Learning to Learn Variational Semantic Memory | Oct 20, 2020 | Few-Shot LearningGeneral Knowledge | CodeCode Available | 0 | 5 |
| Learning to Generate Noise for Multi-Attack Robustness | Jun 22, 2020 | Meta-Learning | CodeCode Available | 0 | 5 |
| Bottom-Up Meta-Policy Search | Oct 22, 2019 | Meta-LearningReinforcement Learning | CodeCode Available | 0 | 5 |
| Bootstrapping Informative Graph Augmentation via A Meta Learning Approach | Jan 11, 2022 | Contrastive LearningInformativeness | CodeCode Available | 0 | 5 |
