| Sequential Scenario-Specific Meta Learner for Online Recommendation | Jun 2, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| DiCE: The Infinitely Differentiable Monte Carlo Estimator | Jul 1, 2018 | Meta-LearningReinforcement Learning | CodeCode Available | 0 |
| An Investigation of Few-Shot Learning in Spoken Term Classification | Dec 26, 2018 | Few-Shot LearningGeneral Classification | CodeCode Available | 0 |
| Truncated Back-propagation for Bilevel Optimization | Oct 25, 2018 | Bilevel OptimizationMeta-Learning | CodeCode Available | 0 |
| One-shot skill assessment in high-stakes domains with limited data via meta learning | Dec 16, 2022 | Domain AdaptationMeta-Learning | CodeCode Available | 0 |
| One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning | Feb 5, 2018 | Meta-LearningOne-Shot Learning | CodeCode Available | 0 |
| TSEML: A task-specific embedding-based method for few-shot classification of cancer molecular subtypes | Dec 17, 2024 | Cancer ClassificationMeta-Learning | CodeCode Available | 0 |
| Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning | Dec 2, 2024 | Abuse DetectionAbusive Language | CodeCode Available | 0 |
| HIDRA: Head Initialization across Dynamic targets for Robust Architectures | Oct 28, 2019 | Meta-Learning | CodeCode Available | 0 |
| One-Shot Neural Architecture Search via Compressive Sensing | Jun 7, 2019 | Compressive SensingMeta-Learning | CodeCode Available | 0 |
| Meta-learning For Few-Shot Time Series Crop Type Classification: A Benchmark On The EuroCropsML Dataset | Apr 15, 2025 | Meta-LearningTime Series | CodeCode Available | 0 |
| One-Shot Visual Imitation Learning via Meta-Learning | Sep 14, 2017 | Imitation LearningMeta-Learning | CodeCode Available | 0 |
| TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning | May 16, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Targeted Data-driven Regularization for Out-of-Distribution Generalization | Aug 1, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 0 |
| Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects | May 29, 2022 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| DiCE: The Infinitely Differentiable Monte-Carlo Estimator | Feb 14, 2018 | Meta-LearningReinforcement Learning | CodeCode Available | 0 |
| Detecting Sockpuppetry on Wikipedia Using Meta-Learning | Jun 12, 2025 | Meta-Learning | CodeCode Available | 0 |
| Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset | Apr 2, 2019 | General ClassificationMeta-Learning | CodeCode Available | 0 |
| TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation | Jun 3, 2023 | Few-Shot Text ClassificationMeta-Learning | CodeCode Available | 0 |
| Task2Vec: Task Embedding for Meta-Learning | Feb 10, 2019 | Meta-Learning | CodeCode Available | 0 |
| Designing Time-Series Models With Hypernetworks & Adversarial Portfolios | Jul 29, 2024 | Meta-LearningTime Series | CodeCode Available | 0 |
| Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data | Dec 30, 2021 | AttributeMeta-Learning | CodeCode Available | 0 |
| Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics | Sep 21, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Sample Weight Estimation Using Meta-Updates for Online Continual Learning | Jan 29, 2024 | Continual LearningMeta-Learning | CodeCode Available | 0 |
| Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis | Jul 29, 2022 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 0 |
