| Procedural generation of meta-reinforcement learning tasks | Feb 11, 2023 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark | Oct 24, 2021 | ClassificationMeta-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 |
| Few-shot Object Detection via Feature Reweighting | Dec 5, 2018 | Few-Shot LearningFew-Shot Object Detection | CodeCode Available | 1 | 5 |
| Few-Shot Open-Set Recognition using Meta-Learning | May 27, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | 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 |
| Attentional-Biased Stochastic Gradient Descent | Dec 13, 2020 | ClassificationGeneral Classification | 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 |
| Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising | May 31, 2021 | MarketingMeta-Learning | CodeCode Available | 1 | 5 |
| Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation | Jun 19, 2021 | Meta-LearningSemantic Segmentation | 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 |
| Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection | Mar 30, 2021 | Few-Shot Object DetectionMeta-Learning | CodeCode Available | 1 | 5 |
| Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition | Oct 20, 2020 | Action RecognitionFew Shot Action Recognition | 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 |
| Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification | Dec 1, 2020 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 | 5 |
| Few-Shot Microscopy Image Cell Segmentation | Jun 29, 2020 | Cell SegmentationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition | Sep 7, 2022 | Long-tail LearningMeta-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 |
| Discovering modular solutions that generalize compositionally | Dec 22, 2023 | Meta-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 |
| Direct Differentiable Augmentation Search | Apr 9, 2021 | AutoMLData Augmentation | CodeCode Available | 1 | 5 |
| Few-Shot Named Entity Recognition: A Comprehensive Study | Dec 29, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| A Broader Study of Cross-Domain Few-Shot Learning | Dec 16, 2019 | 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 |
| Discovering Reinforcement Learning Algorithms | Jul 17, 2020 | Atari GamesMeta-Learning | CodeCode Available | 1 | 5 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 | 5 |
| Learning to Purify Noisy Labels via Meta Soft Label Corrector | Aug 3, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| Towards Task Sampler Learning for Meta-Learning | Jul 18, 2023 | DiversityFew-Shot 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 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | 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 |
| BOIL: Towards Representation Change for Few-shot Learning | Aug 20, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Efficient Domain Generalization via Common-Specific Low-Rank Decomposition | Mar 28, 2020 | Data AugmentationDomain Generalization | CodeCode Available | 1 | 5 |
| Domain-General Crowd Counting in Unseen Scenarios | Dec 5, 2022 | Crowd CountingDisentanglement | CodeCode Available | 1 | 5 |
| Domain Adaptive Few-Shot Open-Set Learning | Sep 22, 2023 | cross-domain few-shot learningFew-Shot Learning | CodeCode Available | 1 | 5 |
| Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical Imaging | Aug 18, 2020 | Computed Tomography (CT)Domain Generalization | CodeCode Available | 1 | 5 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 | 5 |
| Few-shot Learning with LSSVM Base Learner and Transductive Modules | Sep 12, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Improving Generalization in Meta-learning via Task Augmentation | Jul 26, 2020 | Meta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Network Anomaly Detection via Cross-network Meta-learning | Feb 22, 2021 | Anomaly DetectionFew-Shot 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 |
| DPGN: Distribution Propagation Graph Network for Few-shot Learning | Mar 31, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning | Sep 8, 2021 | MemorizationMeta-Learning | CodeCode Available | 1 | 5 |
| MAML is a Noisy Contrastive Learner in Classification | Jun 29, 2021 | ClassificationFew-Shot 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 |
| Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy | Jun 28, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 | 5 |
| MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation | Oct 23, 2021 | Few-Shot LearningFew-Shot Semantic Segmentation | CodeCode Available | 1 | 5 |
| Editing Factual Knowledge in Language Models | Apr 16, 2021 | Fact CheckingMeta-Learning | CodeCode Available | 1 | 5 |
| Few-shot Relational Reasoning via Connection Subgraph Pretraining | Oct 13, 2022 | Few-Shot Image ClassificationMeta-Learning | CodeCode Available | 1 | 5 |
