| Learning to Explore for Stochastic Gradient MCMC | Aug 17, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Diverse Few-Shot Text Classification with Multiple Metrics | May 19, 2018 | ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations | Apr 1, 2022 | Domain AdaptationMeta-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 |
| 3FM: Multi-modal Meta-learning for Federated Tasks | Dec 15, 2023 | Federated LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Evolve on Dynamic Graphs | Nov 13, 2021 | Graph Neural NetworkMeta-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 |
| Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks | Oct 31, 2019 | Dialogue GenerationDiversity | 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 |
| Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning | Aug 23, 2019 | Meta-Learning | CodeCode Available | 0 | 5 |
| AutoLoss: Learning Discrete Schedules for Alternate Optimization | Oct 4, 2018 | Image GenerationMachine Translation | 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 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 |
| Domain Adaptive Dialog Generation via Meta Learning | Jun 8, 2019 | Domain AdaptationMeta-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 |
| AutoML for Multi-Class Anomaly Compensation of Sensor Drift | Feb 26, 2025 | AutoMLEnsemble Learning | CodeCode Available | 0 | 5 |
| Adversarial Meta-Learning of Gamma-Minimax Estimators That Leverage Prior Knowledge | Dec 10, 2020 | Meta-Learning | CodeCode Available | 0 | 5 |
| MetaAug: Meta-Data Augmentation for Post-Training Quantization | Jul 20, 2024 | Data AugmentationMeta-Learning | CodeCode Available | 0 | 5 |
| Meta-Learning for Natural Language Understanding under Continual Learning Framework | Nov 3, 2020 | Continual LearningMeta-Learning | 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 |
| 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 |