| Temporal Transductive Inference for Few-Shot Video Object Segmentation | Mar 27, 2022 | Meta-LearningObject | CodeCode Available | 0 |
| Towards Sample-efficient Overparameterized Meta-learning | Jan 16, 2022 | Few-Shot LearningInductive Bias | CodeCode Available | 0 |
| A Primal-Dual Subgradient Approachfor Fair Meta Learning | Sep 26, 2020 | FairnessFew-Shot Learning | CodeCode Available | 0 |
| UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery | Feb 18, 2025 | Drug DiscoveryFew-Shot Learning | CodeCode Available | 0 |
| FREE: Faster and Better Data-Free Meta-Learning | May 2, 2024 | Meta-Learning | CodeCode Available | 0 |
| Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation | Feb 28, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 |
| Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning | Nov 13, 2020 | ClusteringMeta-Learning | CodeCode Available | 0 |
| Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition | May 24, 2022 | Few-shot NERLanguage Modeling | CodeCode Available | 0 |
| Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning | Oct 19, 2022 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
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| Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment | Jan 19, 2023 | Data AugmentationDomain Generalization | CodeCode Available | 0 |
| AutoML: Exploration v.s. Exploitation | Dec 23, 2019 | AutoMLMeta-Learning | CodeCode Available | 0 |
| Forecasting Early with Meta Learning | Jul 19, 2023 | Meta-LearningMulti-Task Learning | CodeCode Available | 0 |
| Automatic Short Math Answer Grading via In-context Meta-learning | May 30, 2022 | automatic short answer gradingIn-Context Learning | CodeCode Available | 0 |
| Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection | Oct 25, 2019 | Event DetectionEvent Extraction | CodeCode Available | 0 |
| Shaping Visual Representations with Language for Few-shot Classification | Nov 6, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Finetuning-Activated Backdoors in LLMs | May 22, 2025 | Meta-Learning | CodeCode Available | 0 |
| Adaptive Meta-Domain Transfer Learning (AMDTL): A Novel Approach for Knowledge Transfer in AI | Sep 10, 2024 | Meta-LearningTransfer Learning | CodeCode Available | 0 |
| Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation | Mar 27, 2024 | Meta-Learningregression | CodeCode Available | 0 |
| Persian Natural Language Inference: A Meta-learning approach | May 18, 2022 | Cross-Lingual TransferMeta-Learning | CodeCode Available | 0 |
| Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training | May 22, 2018 | Meta-Learning | CodeCode Available | 0 |
| Automatic selection of clustering algorithms using supervised graph embedding | Nov 16, 2020 | AutoMLClustering | CodeCode Available | 0 |
| Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data | Jul 28, 2018 | Fine-Grained Visual CategorizationMeta-Learning | CodeCode Available | 0 |
| AALF: Almost Always Linear Forecasting | Sep 16, 2024 | Decision MakingDeep Learning | CodeCode Available | 0 |
| Personalized Algorithm Generation: A Case Study in Learning ODE Integrators | May 4, 2021 | Meta-Learning | CodeCode Available | 0 |
