| Learning to Transfer: Unsupervised Meta Domain Translation | Jun 1, 2019 | Generative Adversarial NetworkMeta-Learning | 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 |
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| A comparison of small sample methods for Handshape Recognition | Apr 1, 2023 | Hand Gesture RecognitionMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Learn Words from Visual Scenes | Nov 25, 2019 | Language AcquisitionLanguage Modelling | CodeCode Available | 0 | 5 |
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| AutoML: Exploration v.s. Exploitation | Dec 23, 2019 | AutoMLMeta-Learning | CodeCode Available | 0 | 5 |
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| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 | 5 |
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| Learning to Learn from Noisy Labeled Data | Dec 13, 2018 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
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| Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization | Aug 2, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning | May 25, 2018 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 0 | 5 |
| Learning to learn by gradient descent by gradient descent | Jun 14, 2016 | Meta-Learning | CodeCode Available | 0 | 5 |
| Automatic selection of clustering algorithms using supervised graph embedding | Nov 16, 2020 | AutoMLClustering | CodeCode Available | 0 | 5 |
| Learning to Learn By Self-Critique | Dec 1, 2019 | Few-Shot LearningMeta-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 |
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| Memory Efficient Neural Processes via Constant Memory Attention Block | May 23, 2023 | Meta-Learning | CodeCode Available | 0 | 5 |
| Learning to Explore for Stochastic Gradient MCMC | Aug 17, 2024 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation | Nov 1, 2020 | BIG-bench Machine LearningDomain Generalization | 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 |
| Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning | Aug 23, 2019 | Meta-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 |
| Learning to Evolve on Dynamic Graphs | Nov 13, 2021 | Graph Neural NetworkMeta-Learning | CodeCode Available | 0 | 5 |
| Automated Privacy-Preserving Techniques via Meta-Learning | Jun 24, 2024 | De-identificationMeta-Learning | CodeCode Available | 0 | 5 |
| Discovering Weight Initializers with Meta Learning | May 20, 2021 | Meta-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 Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks | May 30, 2019 | Bayesian InferenceMeta-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 Generate Noise for Multi-Attack Robustness | Jun 22, 2020 | 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 |
| Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning | Dec 16, 2021 | 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 |
| AutoLoss: Learning Discrete Schedules for Alternate Optimization | Oct 4, 2018 | Image GenerationMachine Translation | CodeCode Available | 0 | 5 |
