| DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems | Oct 8, 2022 | Combinatorial OptimizationDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| Diffusion-Based Neural Network Weights Generation | Feb 28, 2024 | Meta-LearningRepresentation Learning | CodeCode Available | 1 | 5 |
| An Analysis of the Adaptation Speed of Causal Models | May 18, 2020 | Meta-LearningStochastic Optimization | CodeCode Available | 1 | 5 |
| DIP: Unsupervised Dense In-Context Post-training of Visual Representations | Jun 23, 2025 | GPUMeta-Learning | CodeCode Available | 1 | 5 |
| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning | Oct 2, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Exploiting Shared Representations for Personalized Federated Learning | Feb 14, 2021 | Federated LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning | Mar 1, 2021 | Few-Shot Image ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Evolving Reinforcement Learning Algorithms | Jan 8, 2021 | Atari GamesMeta-Learning | CodeCode Available | 1 | 5 |
| Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces | Jun 22, 2023 | AttributeMeta-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 |
| Exploring Effective Factors for Improving Visual In-Context Learning | Apr 10, 2023 | In-Context LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Empirical Bayes Transductive Meta-Learning with Synthetic Gradients | Apr 27, 2020 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
| Efficient Graph Deep Learning in TensorFlow with tf_geometric | Jan 27, 2021 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning | Mar 3, 2020 | DecoderMeta-Learning | 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 |
| Attentional-Biased Stochastic Gradient Descent | Dec 13, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | 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 |
| Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning | Mar 30, 2024 | Bayesian OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| On the Convergence Theory for Hessian-Free Bilevel Algorithms | Oct 13, 2021 | Bilevel OptimizationMeta-Learning | CodeCode Available | 1 | 5 |
| Exploring Task Difficulty for Few-Shot Relation Extraction | Sep 12, 2021 | Contrastive LearningMeta-Learning | 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 |
| A Structured Dictionary Perspective on Implicit Neural Representations | Dec 3, 2021 | Dictionary LearningInductive Bias | 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 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 | 5 |
| Efficient Domain Generalization via Common-Specific Low-Rank Decomposition | Mar 28, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 | 5 |
| Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data | Jun 14, 2021 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 | 5 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Automated Relational Meta-learning | Jan 3, 2020 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 | 5 |
| DPGN: Distribution Propagation Graph Network for Few-shot Learning | Mar 31, 2020 | Few-Shot LearningMeta-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 |
| Automating Outlier Detection via Meta-Learning | Sep 22, 2020 | Anomaly DetectionAutoML | CodeCode Available | 1 | 5 |
| Exploiting Domain-Specific Features to Enhance Domain Generalization | Oct 18, 2021 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| Adversarial Feature Augmentation for Cross-domain Few-shot Classification | Aug 23, 2022 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 | 5 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning | Mar 9, 2020 | Few-Shot LearningGeneral Classification | 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 |
| A picture of the space of typical learnable tasks | Oct 31, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning | Jun 18, 2023 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 | 5 |
| Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes | Jun 18, 2019 | Active LearningContinual 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 |
| Faster Meta Update Strategy for Noise-Robust Deep Learning | Apr 30, 2021 | Deep LearningImage Classification | CodeCode Available | 1 | 5 |
| Dynamic Relevance Learning for Few-Shot Object Detection | Aug 4, 2021 | Few-Shot Object DetectionMeta-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 |
| Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks | May 19, 2021 | Data AugmentationMeta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Classification via Adaptive Attention | Aug 6, 2020 | ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations | Aug 30, 2019 | Link PredictionMeta-Learning | 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 |
