| Learning to Transfer: Unsupervised Meta Domain Translation | Jun 1, 2019 | Generative Adversarial NetworkMeta-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 |
| Autoregressive Conditional Neural Processes | Mar 25, 2023 | Meta-Learning | CodeCode Available | 0 | 5 |
| AutoProtoNet: Interpretability for Prototypical Networks | Apr 2, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Adaptive Meta-Learning-Based KKL Observer Design for Nonlinear Dynamical Systems | Oct 30, 2023 | Meta-Learning | CodeCode Available | 0 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Jul 1, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 0 | 5 |
| AutonoML: Towards an Integrated Framework for Autonomous Machine Learning | Dec 23, 2020 | Automated Feature EngineeringBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| AutoML in Heavily Constrained Applications | Jun 29, 2023 | AutoMLMeta-Learning | CodeCode Available | 0 | 5 |
| AutoML for Multi-Class Anomaly Compensation of Sensor Drift | Feb 26, 2025 | AutoMLEnsemble Learning | CodeCode Available | 0 | 5 |
| A comparison of small sample methods for Handshape Recognition | Apr 1, 2023 | Hand Gesture RecognitionMeta-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 |
| Learning to Forget for Meta-Learning | Jun 13, 2019 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| AutoML: Exploration v.s. Exploitation | Dec 23, 2019 | AutoMLMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Evolve on Dynamic Graphs | Nov 13, 2021 | Graph Neural NetworkMeta-Learning | CodeCode Available | 0 | 5 |
| Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification | Sep 10, 2022 | Few-Shot Text ClassificationMeta-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 |
| Learning to Explore for Stochastic Gradient MCMC | Aug 17, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
| Learning to Design RNA | Dec 31, 2018 | CPUDeep Reinforcement 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 |
| Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI | Sep 10, 2024 | Meta-LearningTransfer 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 |
| Automatic Short Math Answer Grading via In-context Meta-learning | May 30, 2022 | automatic short answer gradingIn-Context Learning | CodeCode Available | 0 | 5 |
| Automatic selection of clustering algorithms using supervised graph embedding | Nov 16, 2020 | AutoMLClustering | 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 |
