| Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming | Dec 15, 2023 | Autonomous DrivingMeta-Learning | CodeCode Available | 0 |
| Learning to Learn Words from Visual Scenes | Nov 25, 2019 | Language AcquisitionLanguage Modelling | CodeCode Available | 0 |
| Learning to Modulate Random Weights: Neuromodulation-inspired Neural Networks For Efficient Continual Learning | Apr 8, 2022 | Computational EfficiencyContinual Learning | CodeCode Available | 0 |
| Learning to Multi-Task by Active Sampling | Feb 20, 2017 | Active LearningMeta-Learning | CodeCode Available | 0 |
| Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition | Dec 18, 2024 | Emotion RecognitionMeta-Learning | CodeCode Available | 0 |
| Fast Efficient Hyperparameter Tuning for Policy Gradients | Feb 18, 2019 | Meta-LearningPolicy Gradient Methods | CodeCode Available | 0 |
| Learning to learn ecosystems from limited data -- a meta-learning approach | Oct 2, 2024 | Meta-LearningPrediction | CodeCode Available | 0 |
| Provable Guarantees for Gradient-Based Meta-Learning | Feb 27, 2019 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Fast Adaptive Meta-Learning for Few-Shot Image Generation | May 5, 2021 | Image GenerationMeta-Learning | CodeCode Available | 0 |
| Learning to Propagate for Graph Meta-Learning | Sep 11, 2019 | Dataset GenerationFew-Shot Image Classification | CodeCode Available | 0 |
| Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning | May 25, 2018 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Learning to Learn Cropping Models for Different Aspect Ratio Requirements | Jun 1, 2020 | Image CroppingMeta-Learning | CodeCode Available | 0 |
| Learning to Rasterize Differentiably | Nov 23, 2022 | Inverse RenderingMeta-Learning | CodeCode Available | 0 |
| Learning to Learn By Self-Critique | Dec 1, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning | Jun 13, 2018 | Hyperparameter OptimizationMeta-Learning | CodeCode Available | 0 |
| Asynchronous Distributed Bilevel Optimization | Dec 20, 2022 | Bilevel OptimizationHyperparameter Optimization | CodeCode Available | 0 |
| Learning to Rectify for Robust Learning with Noisy Labels | Nov 8, 2021 | Learning with noisy labelsMeta-Learning | CodeCode Available | 0 |
| Learning to reinforcement learn | Nov 17, 2016 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 0 |
| Provable Meta-Learning of Linear Representations | Feb 26, 2020 | Meta-Learningregression | CodeCode Available | 0 |
| Learning to reinforcement learn for Neural Architecture Search | Nov 9, 2019 | Meta-LearningNeural Architecture Search | CodeCode Available | 0 |
| Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data | Aug 24, 2019 | FairnessMeta-Learning | CodeCode Available | 0 |
| Speaker Adaptive Training using Model Agnostic Meta-Learning | Oct 23, 2019 | Meta-Learningmodel | CodeCode Available | 0 |
| Learning to learn by gradient descent by gradient descent | Jun 14, 2016 | Meta-Learning | CodeCode Available | 0 |
| On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning | Feb 12, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
| Analyzing the Effectiveness of Quantum Annealing with Meta-Learning | Aug 1, 2024 | Meta-Learning | CodeCode Available | 0 |
