| Context-Aware Meta-Learning | Oct 17, 2023 | Few-Shot Image ClassificationIn-Context Learning | CodeCode Available | 1 |
| Learning Domain Invariant Prompt for Vision-Language Models | Dec 8, 2022 | Domain GeneralizationLanguage Modelling | CodeCode Available | 1 |
| Learning Meta Face Recognition in Unseen Domains | Mar 17, 2020 | Face RecognitionMeta-Learning | CodeCode Available | 1 |
| Learning Neural Causal Models from Unknown Interventions | Oct 2, 2019 | Meta-Learning | CodeCode Available | 1 |
| ARCADe: A Rapid Continual Anomaly Detector | Aug 10, 2020 | Anomaly Detectioncontinual anomaly detection | CodeCode Available | 1 |
| Learning Quickly to Plan Quickly Using Modular Meta-Learning | Sep 20, 2018 | Meta-Learning | CodeCode Available | 1 |
| Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning | Mar 20, 2023 | Meta-Learning | CodeCode Available | 1 |
| Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels | Oct 11, 2019 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Adapting to Distribution Shift by Visual Domain Prompt Generation | May 5, 2024 | Domain GeneralizationMeta-Learning | CodeCode Available | 1 |
| Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning | Jun 18, 2023 | Cross-Domain Few-Shotcross-domain few-shot learning | CodeCode Available | 1 |
| Learning to Detect Noisy Labels Using Model-Based Features | Dec 28, 2022 | Meta-Learningspeech-recognition | CodeCode Available | 1 |
| Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising | May 31, 2021 | MarketingMeta-Learning | CodeCode Available | 1 |
| Learning to Filter: Siamese Relation Network for Robust Tracking | Apr 2, 2021 | Meta-LearningRelation | CodeCode Available | 1 |
| Learning to Generalize across Domains on Single Test Samples | Feb 16, 2022 | Bayesian InferenceDomain Adaptation | CodeCode Available | 1 |
| Are Deep Neural Networks SMARTer than Second Graders? | Dec 20, 2022 | Language ModellingMeta-Learning | CodeCode Available | 1 |
| Continued Pretraining for Better Zero- and Few-Shot Promptability | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Learning to Learn and Sample BRDFs | Oct 7, 2022 | Meta-Learning | CodeCode Available | 1 |
| Learning to Learn from APIs: Black-Box Data-Free Meta-Learning | May 28, 2023 | Few-Shot LearningKnowledge Distillation | CodeCode Available | 1 |
| Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference | Oct 29, 2018 | Continual LearningMeta-Learning | CodeCode Available | 1 |
| Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World | Jan 1, 2024 | Image Super-ResolutionMeta-Learning | CodeCode Available | 1 |
| AReLU: Attention-based Rectified Linear Unit | Jun 24, 2020 | Meta-LearningTransfer Learning | CodeCode Available | 1 |
| Learning to Optimize for Reinforcement Learning | Feb 3, 2023 | Inductive BiasMeta-Learning | CodeCode Available | 1 |
| Learning to Scaffold: Optimizing Model Explanations for Teaching | Apr 22, 2022 | Meta-Learningmodel | CodeCode Available | 1 |
| Learning to Stop While Learning to Predict | Jun 9, 2020 | Meta-Learning | CodeCode Available | 1 |
| Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning | Mar 30, 2024 | Bayesian OptimizationMeta-Learning | CodeCode Available | 1 |
| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning | Oct 2, 2020 | Meta-LearningMeta Reinforcement Learning | CodeCode Available | 1 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation | Feb 17, 2022 | Contrastive LearningMeta-Learning | CodeCode Available | 1 |
| Learning with AMIGo: Adversarially Motivated Intrinsic Goals | Jun 22, 2020 | Meta-LearningReinforcement Learning (RL) | CodeCode Available | 1 |
| ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification | May 16, 2023 | ClassificationContrastive Learning | CodeCode Available | 1 |
| Control-oriented meta-learning | Apr 14, 2022 | Meta-Learningregression | CodeCode Available | 1 |
| A General Descent Aggregation Framework for Gradient-based Bi-level Optimization | Feb 16, 2021 | Meta-Learning | CodeCode Available | 1 |
| LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners | Oct 12, 2021 | Few-Shot LearningIn-Context Learning | CodeCode Available | 1 |
| ArtFID: Quantitative Evaluation of Neural Style Transfer | Jul 25, 2022 | BenchmarkingMeta-Learning | CodeCode Available | 1 |
| LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs | Jan 1, 2025 | In-Context LearningMeta-Learning | CodeCode Available | 1 |
| MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation | Jul 7, 2020 | Meta-LearningRecommendation Systems | CodeCode Available | 1 |
| Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy | Jun 28, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| Massive Editing for Large Language Models via Meta Learning | Nov 8, 2023 | Fact CheckingLanguage Modeling | CodeCode Available | 1 |
| MC-BERT: Efficient Language Pre-Training via a Meta Controller | Jun 10, 2020 | Binary ClassificationCloze Test | CodeCode Available | 1 |
| Few-shot Object Detection via Feature Reweighting | Dec 5, 2018 | Few-Shot LearningFew-Shot Object Detection | CodeCode Available | 1 |
| Deep Random Projector: Accelerated Deep Image Prior | Jan 1, 2023 | DenoisingImage Denoising | CodeCode Available | 1 |
| Meta Adversarial Training against Universal Patches | Jan 27, 2021 | Autonomous Drivingimage-classification | CodeCode Available | 1 |
| Copolymer Informatics with Multi-Task Deep Neural Networks | Mar 25, 2021 | Meta-LearningMulti-Task Learning | CodeCode Available | 1 |
| MetaAudio: A Few-Shot Audio Classification Benchmark | Apr 5, 2022 | Audio ClassificationClassification | CodeCode Available | 1 |
| MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images | Jun 22, 2021 | Meta-Learning | CodeCode Available | 1 |
| HELP: Hardware-Adaptive Efficient Latency Prediction for NAS via Meta-Learning | Jun 16, 2021 | Meta-LearningNeural Architecture Search | CodeCode Available | 1 |
| Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error | Jun 17, 2021 | Meta-Learning | CodeCode Available | 1 |
| Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples | Mar 7, 2019 | Few-Shot Image ClassificationGeneral Classification | CodeCode Available | 1 |
| Covariate Distribution Aware Meta-learning | Jul 6, 2020 | Few-Shot LearningMeta-Learning | CodeCode Available | 1 |
| MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning | May 22, 2023 | Meta-LearningMisinformation | CodeCode Available | 1 |
| MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control | Jan 4, 2021 | Deep Reinforcement LearningMeta-Learning | CodeCode Available | 1 |