| Learning to Design RNA | Dec 31, 2018 | CPUDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning | May 27, 2019 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 0 | 5 |
| MetaASSIST: Robust Dialogue State Tracking with Meta Learning | Oct 22, 2022 | Dialogue State TrackingMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks | Nov 10, 2019 | DiversityEntity Typing | 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 Customize Model Structures for Few-shot Dialogue Generation Tasks | Oct 31, 2019 | Dialogue GenerationDiversity | 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 Defer to a Population: A Meta-Learning Approach | Mar 5, 2024 | Meta-LearningTraffic Sign Detection | CodeCode Available | 0 | 5 |
| Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning | Jun 3, 2022 | Meta-Learning | CodeCode Available | 0 | 5 |
| DiCE: The Infinitely Differentiable Monte Carlo Estimator | Jul 1, 2018 | Meta-LearningReinforcement 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 |
| Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks | May 30, 2019 | Bayesian InferenceMeta-Learning | 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 |
| A Unified Meta-Learning Framework for Dynamic Transfer Learning | Jul 5, 2022 | Meta-LearningTransfer Learning | CodeCode Available | 0 | 5 |
| Detecting Sockpuppetry on Wikipedia Using Meta-Learning | Jun 12, 2025 | Meta-Learning | CodeCode Available | 0 | 5 |
| Learning to adapt: a meta-learning approach for speaker adaptation | Aug 30, 2018 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | CodeCode Available | 0 | 5 |
| Designing Time-Series Models With Hypernetworks & Adversarial Portfolios | Jul 29, 2024 | Meta-LearningTime Series | CodeCode Available | 0 | 5 |
| Learning Task-Aware Energy Disaggregation: a Federated Approach | Apr 14, 2022 | Federated LearningMeta-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 |
| Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data | Dec 30, 2021 | AttributeMeta-Learning | CodeCode Available | 0 | 5 |
| A Closer Look at the Training Strategy for Modern Meta-Learning | Dec 1, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning New Tasks from a Few Examples with Soft-Label Prototypes | Oct 31, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| AugFL: Augmenting Federated Learning with Pretrained Models | Mar 4, 2025 | Federated LearningMeta-Learning | CodeCode Available | 0 | 5 |
