| Domain Generalization via Semi-supervised Meta Learning | Sep 26, 2020 | Domain GeneralizationMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Cropping Models for Different Aspect Ratio Requirements | Jun 1, 2020 | Image CroppingMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Forget for Meta-Learning | Jun 13, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| AutoLoss: Learning Discrete Schedules for Alternate Optimization | Oct 4, 2018 | Image GenerationMachine Translation | CodeCode Available | 0 | 5 |
| Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks | Nov 10, 2019 | DiversityEntity Typing | CodeCode Available | 0 | 5 |
| Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning | Dec 15, 2023 | Contrastive LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to learn ecosystems from limited data -- a meta-learning approach | Oct 2, 2024 | Meta-LearningPrediction | CodeCode Available | 0 | 5 |
| 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 |
| Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks | Oct 31, 2019 | Dialogue GenerationDiversity | CodeCode Available | 0 | 5 |
| Learning to Defer to a Population: A Meta-Learning Approach | Mar 5, 2024 | Meta-LearningTraffic Sign Detection | CodeCode Available | 0 | 5 |
| 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 |
| Differentiable plasticity: training plastic neural networks with backpropagation | Apr 6, 2018 | Lifelong learningMeta-Learning | CodeCode Available | 0 | 5 |
| 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 |
| Learning Task-Aware Energy Disaggregation: a Federated Approach | Apr 14, 2022 | Federated LearningMeta-Learning | CodeCode Available | 0 | 5 |
| 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 |
