| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 | 5 |
| Automating Outlier Detection via Meta-Learning | Sep 22, 2020 | Anomaly DetectionAutoML | CodeCode Available | 1 | 5 |
| End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning | Mar 3, 2020 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| Meta Dropout: Learning to Perturb Features for Generalization | May 30, 2019 | BIG-bench Machine LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Meta Dropout: Learning to Perturb Latent Features for Generalization | May 1, 2020 | BIG-bench Machine LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Meta-FDMixup: Cross-Domain Few-Shot Learning Guided by Labeled Target Data | Jul 26, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection | Jan 1, 2023 | Infrared And Visible Image FusionMeta-Learning | CodeCode Available | 1 | 5 |
| On the Convergence Theory for Hessian-Free Bilevel Algorithms | Oct 13, 2021 | Bilevel OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning | Jan 1, 2021 | Meta-LearningUnsupervised Few-Shot Image Classification | CodeCode Available | 1 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings | Dec 12, 2020 | Graph Representation LearningMeta-Learning | CodeCode Available | 1 | 5 |
| MetaHDR: Model-Agnostic Meta-Learning for HDR Image Reconstruction | Mar 20, 2021 | Image ReconstructionMeta-Learning | CodeCode Available | 1 | 5 |
| MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition | Apr 5, 2021 | Handwritten Text RecognitionHTR | CodeCode Available | 1 | 5 |
| Fine-grained Recognition with Learnable Semantic Data Augmentation | Sep 1, 2023 | Data AugmentationFine-Grained Image Recognition | CodeCode Available | 1 | 5 |
| Exploiting Domain-Specific Features to Enhance Domain Generalization | Oct 18, 2021 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| A Meta-Learning Approach for Training Explainable Graph Neural Networks | Sep 20, 2021 | Graph ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization | Jun 19, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| FLEX: Unifying Evaluation for Few-Shot NLP | Jul 15, 2021 | Few-Shot LearningLanguage Modeling | CodeCode Available | 1 | 5 |
| Evolving Reinforcement Learning Algorithms | Jan 8, 2021 | Atari GamesMeta-Learning | CodeCode Available | 1 | 5 |
| AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere | Apr 24, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems | May 6, 2021 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Exploiting Shared Representations for Personalized Federated Learning | Feb 14, 2021 | Federated LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Text Classification with Distributional Signatures | Aug 16, 2019 | ClassificationFew-Shot Text Classification | CodeCode Available | 1 | 5 |
