meta learning

Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning ICLR 2024 Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation COLING 2024 Active representation learning for general task space with applications in robotics NeurIPS 2023 A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm NeurIPS 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Discovering Evolution Strategies via Meta-Black-Box Optimization ICLR 2023 Diversity-Aware Meta Visual Prompting CVPR 2023 Enhancing Dynamic GCN for Node Attribute Forecasting with Meta Spatial-Temporal Learning (Student Abstract) AAAI 2023 FedSysID: A Federated Approach to Sample-Efficient System Identification L4DC 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training ACL 2023 Know Where You’re Going: Meta-Learning for Parameter-Efficient Fine-Tuning ACL 2023 Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023 Learning to Group Auxiliary Datasets for Molecule NeurIPS 2023 Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? ACL 2023 Making Scalable Meta Learning Practical NeurIPS 2023 Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer CVPR 2023 MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models CVPR 2023 MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning ACL 2023 Meta Compositional Referring Expression Segmentation CVPR 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023 Meta Temporal Point Processes ICLR 2023 Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023 PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios NeurIPS 2023