| Learning to Learn Single Domain Generalization | Mar 30, 2020 | Domain GeneralizationMeta-Learning | CodeCode Available | 0 | 5 |
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| Memory Efficient Neural Processes via Constant Memory Attention Block | May 23, 2023 | Meta-Learning | CodeCode Available | 0 | 5 |
| Diversity with Cooperation: Ensemble Methods for Few-Shot Classification | Mar 27, 2019 | ClassificationDiversity | CodeCode Available | 0 | 5 |
| Learning to Learn Transferable Attack | Dec 10, 2021 | Adversarial AttackData Augmentation | CodeCode Available | 0 | 5 |
| Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation | Nov 1, 2020 | BIG-bench Machine LearningDomain Generalization | CodeCode Available | 0 | 5 |
| Learning to Learn from Noisy Labeled Data | Dec 13, 2018 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials? | Nov 9, 2023 | Meta-LearningModel Selection | CodeCode Available | 0 | 5 |
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| AutoML: Exploration v.s. Exploitation | Dec 23, 2019 | AutoMLMeta-Learning | CodeCode Available | 0 | 5 |
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| Discovering Weight Initializers with Meta Learning | May 20, 2021 | Meta-Learning | CodeCode Available | 0 | 5 |
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| AutonoML: Towards an Integrated Framework for Autonomous Machine Learning | Dec 23, 2020 | Automated Feature EngineeringBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
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| AutoLoss: Learning Discrete Schedules for Alternate Optimization | Oct 4, 2018 | Image GenerationMachine Translation | CodeCode Available | 0 | 5 |
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| MALIBO: Meta-learning for Likelihood-free Bayesian Optimization | Jul 7, 2023 | Bayesian OptimizationMeta-Learning | CodeCode Available | 0 | 5 |
| MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection | May 18, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 0 | 5 |
| Meta-Learning Probabilistic Inference For Prediction | May 24, 2018 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
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| Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning | Aug 23, 2019 | Meta-Learning | CodeCode Available | 0 | 5 |
| ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms | Oct 15, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning | Jun 18, 2022 | BIG-bench Machine LearningGraph Learning | CodeCode Available | 0 | 5 |
| Learning to Continually Learn Rapidly from Few and Noisy Data | Mar 6, 2021 | Continual LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Design RNA | Dec 31, 2018 | CPUDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
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| Adaptive Gradient-Based Meta-Learning Methods | Jun 6, 2019 | Federated LearningFew-Shot Learning | CodeCode Available | 0 | 5 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks | May 30, 2019 | Bayesian InferenceMeta-Learning | CodeCode Available | 0 | 5 |
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| DiCE: The Infinitely Differentiable Monte Carlo Estimator | Jul 1, 2018 | Meta-LearningReinforcement Learning | CodeCode Available | 0 | 5 |
| Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning | Dec 16, 2021 | Meta-Learning | CodeCode Available | 0 | 5 |
| DiCE: The Infinitely Differentiable Monte-Carlo Estimator | Feb 14, 2018 | Meta-LearningReinforcement Learning | CodeCode Available | 0 | 5 |
| Adaptive Mixing of Auxiliary Losses in Supervised Learning | Feb 7, 2022 | DenoisingKnowledge Distillation | CodeCode Available | 0 | 5 |
