| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| Are Deep Neural Networks SMARTer than Second Graders? | Dec 20, 2022 | Language ModellingMeta-Learning | CodeCode Available | 1 | 5 |
| Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection | Mar 30, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| AReLU: Attention-based Rectified Linear Unit | Jun 24, 2020 | Meta-LearningTransfer Learning | CodeCode Available | 1 | 5 |
| A Simple Approach to Case-Based Reasoning in Knowledge Bases | Jun 25, 2020 | Knowledge GraphsMeta-Learning | CodeCode Available | 1 | 5 |
| ArtFID: Quantitative Evaluation of Neural Style Transfer | Jul 25, 2022 | BenchmarkingMeta-Learning | CodeCode Available | 1 | 5 |
| A General Descent Aggregation Framework for Gradient-based Bi-level Optimization | Feb 16, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems | Oct 8, 2022 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets | Feb 14, 2022 | EEGElectroencephalogram (EEG) | CodeCode Available | 1 | 5 |
| An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting | Oct 16, 2020 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| Discovering Minimal Reinforcement Learning Environments | Jun 18, 2024 | continuous-controlContinuous Control | CodeCode Available | 1 | 5 |
| Discovering modular solutions that generalize compositionally | Dec 22, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
| Attentional-Biased Stochastic Gradient Descent | Dec 13, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media | Dec 1, 2021 | Knowledge DistillationMarketing | CodeCode Available | 1 | 5 |
| Attentive Weights Generation for Few Shot Learning via Information Maximization | Jun 1, 2020 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 | 5 |
| Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection | Nov 12, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| A Channel Coding Benchmark for Meta-Learning | Jul 15, 2021 | Meta-Learning | CodeCode Available | 1 | 5 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems | Mar 7, 2021 | Meta-Learningregression | CodeCode Available | 1 | 5 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 | 5 |
| Deep Random Projector: Accelerated Deep Image Prior | Jan 1, 2023 | DenoisingImage Denoising | CodeCode Available | 1 | 5 |
| DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting | Jun 16, 2023 | Incremental LearningMeta-Learning | CodeCode Available | 1 | 5 |
| AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration | Dec 3, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Procedural generation of meta-reinforcement learning tasks | Feb 11, 2023 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Large Scale Search Dataset for Unbiased Learning to Rank | Jul 7, 2022 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 | 5 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 | 5 |
| Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents | Feb 4, 2021 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning | Feb 20, 2018 | Bayesian OptimizationDiagnostic | CodeCode Available | 1 | 5 |
| DynaVSR: Dynamic Adaptive Blind Video Super-Resolution | Nov 9, 2020 | Meta-LearningSuper-Resolution | CodeCode Available | 1 | 5 |
| EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIs | Dec 27, 2024 | EEGFew-Shot Learning | CodeCode Available | 1 | 5 |
| Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition | May 7, 2021 | Adversarial AttackFace Generation | CodeCode Available | 1 | 5 |
| BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring | May 31, 2021 | DeblurringImage Defocus Deblurring | CodeCode Available | 1 | 5 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | Apr 27, 2020 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement | Dec 25, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
| Data Augmentation for Meta-Learning | Oct 14, 2020 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| AwesomeMeta+: A Mixed-Prototyping Meta-Learning System Supporting AI Application Design Anywhere | Apr 24, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization | Jun 19, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning | Sep 23, 2022 | Meta-LearningPrediction | CodeCode Available | 1 | 5 |
| Bayesian Model-Agnostic Meta-Learning | Jun 11, 2018 | Active Learningimage-classification | CodeCode Available | 1 | 5 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning | Jun 9, 2022 | Meta-Learning | CodeCode Available | 1 | 5 |
| A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries | Apr 3, 2025 | DecoderMeta-Learning | CodeCode Available | 1 | 5 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 | 5 |
| Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning | Mar 1, 2024 | Meta-Learning | CodeCode Available | 1 | 5 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 | 5 |
| Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation | Apr 21, 2022 | DecoderFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Federated Reconstruction: Partially Local Federated Learning | Feb 5, 2021 | Collaborative FilteringFederated Learning | CodeCode Available | 1 | 5 |
| Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning | Mar 20, 2023 | Meta-Learning | CodeCode Available | 1 | 5 |
