| Procedural generation of meta-reinforcement learning tasks | Feb 11, 2023 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark | Oct 24, 2021 | ClassificationMeta-Learning | CodeCode Available | 1 |
| A Large Scale Search Dataset for Unbiased Learning to Rank | Jul 7, 2022 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 |
| Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning | Dec 1, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 |
| HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning | Jun 16, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 |
| Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning | Aug 15, 2022 | Contrastive LearningFew-Shot Learning | CodeCode Available | 1 |
| Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents | Feb 4, 2021 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| Attentional-Biased Stochastic Gradient Descent | Dec 13, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 |
| How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning | Jul 15, 2020 | Data AugmentationFew-Shot Learning | CodeCode Available | 1 |
| HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks | May 31, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Hypernetworks build Implicit Neural Representations of Sounds | Feb 9, 2023 | Image CompressionImage Super-Resolution | CodeCode Available | 1 |
| 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 |
| IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning | Jan 1, 2021 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Image Quality-aware Diagnosis via Meta-knowledge Co-embedding | Mar 27, 2023 | DiversityImage Quality Assessment | CodeCode Available | 1 |
| Attentive Weights Generation for Few Shot Learning via Information Maximization | Jun 1, 2020 | ClassificationFew-Shot Image Classification | CodeCode Available | 1 |
| Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer | Sep 19, 2022 | Fake News DetectionLanguage Modelling | CodeCode Available | 1 |
| Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach | Jul 20, 2022 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Influence-Balanced Loss for Imbalanced Visual Classification | Oct 6, 2021 | ClassificationLong-tail Learning | CodeCode Available | 1 |
| Instance Credibility Inference for Few-Shot Learning | Mar 26, 2020 | Data AugmentationFew-Shot Image Classification | CodeCode Available | 1 |
| Interventional Few-Shot Learning | Sep 28, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement | Dec 25, 2023 | Meta-Learning | CodeCode Available | 1 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Knowledge-Aware Meta-learning for Low-Resource Text Classification | Sep 10, 2021 | ClassificationMeta-Learning | CodeCode Available | 1 |
| La-MAML: Look-ahead Meta Learning for Continual Learning | Jul 27, 2020 | Continual LearningMeta-Learning | CodeCode Available | 1 |
| A Broader Study of Cross-Domain Few-Shot Learning | Dec 16, 2019 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 |
| Learn From Model Beyond Fine-Tuning: A Survey | Oct 12, 2023 | Meta-Learningmodel | CodeCode Available | 1 |
| AutoDebias: Learning to Debias for Recommendation | May 10, 2021 | ImputationMeta-Learning | CodeCode Available | 1 |
| Learning a Formula of Interpretability to Learn Interpretable Formulas | Apr 23, 2020 | Meta-Learningregression | CodeCode Available | 1 |
| Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-start | Feb 7, 2022 | Bilevel OptimizationData Poisoning | CodeCode Available | 1 |
| AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks | Sep 18, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 |
| Auto-Lambda: Disentangling Dynamic Task Relationships | Feb 7, 2022 | Auxiliary LearningMeta-Learning | CodeCode Available | 1 |
| Learning from Noisy Labels with Decoupled Meta Label Purifier | Feb 14, 2023 | Image ClassificationMeta-Learning | CodeCode Available | 1 |
| BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach | Sep 19, 2022 | Bilevel OptimizationContinual Learning | CodeCode Available | 1 |
| Can Learned Optimization Make Reinforcement Learning Less Difficult? | Jul 9, 2024 | Decision MakingMeta-Learning | CodeCode Available | 1 |
| Learning to Adapt to Unseen Abnormal Activities under Weak Supervision | Mar 25, 2022 | Anomaly DetectionMeta-Learning | CodeCode Available | 1 |
| L2B: Learning to Bootstrap Robust Models for Combating Label Noise | Feb 9, 2022 | Image ClassificationImage Segmentation | CodeCode Available | 1 |
| Blind Super-Resolution via Meta-learning and Markov Chain Monte Carlo Simulation | Jun 13, 2024 | Blind Super-ResolutionImage Super-Resolution | CodeCode Available | 1 |
| Automated Machine Learning Techniques for Data Streams | Jun 14, 2021 | AutoMLBIG-bench Machine Learning | CodeCode Available | 1 |
| Automating Continual Learning | Dec 1, 2023 | Continual Learningimage-classification | CodeCode Available | 1 |
| Learning to Detect Noisy Labels Using Model-Based Features | Dec 28, 2022 | Meta-Learningspeech-recognition | CodeCode Available | 1 |
| Automated Relational Meta-learning | Jan 3, 2020 | Few-Shot Image Classificationimage-classification | CodeCode Available | 1 |
| AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents | Oct 15, 2023 | In-Context LearningIn-Context Reinforcement Learning | CodeCode Available | 1 |
| Learning to Generalize: Meta-Learning for Domain Generalization | Oct 10, 2017 | Domain Generalizationimage-classification | CodeCode Available | 1 |
| 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 |
| BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning | Sep 28, 2020 | Bilevel OptimizationMeta-Learning | CodeCode Available | 1 |
| Learning to Learn and Sample BRDFs | Oct 7, 2022 | Meta-Learning | CodeCode Available | 1 |
| Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning | Dec 3, 2018 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation | Apr 29, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
| Cross-Domain Few-Shot Classification via Adversarial Task Augmentation | Apr 29, 2021 | ClassificationCross-Domain Few-Shot | CodeCode Available | 1 |
