Meta-Learning

Meta-learning Parameterized Skills ICML 2023 Meta-Learning the Inductive Bias of Simple Neural Circuits ICML 2023 Meta-Learning with Adjoint Methods AISTATS 2023 Meta-Learning With a Geometry-Adaptive Preconditioner CVPR 2023 Meta-Learning with Neural Bandit Scheduler NeurIPS 2023 MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 Meta OOD Learning For Continuously Adaptive OOD Detection ICCV 2023 Meta Optimal Transport ICML 2023 Meta-Personalizing Vision-Language Models To Find Named Instances in Video CVPR 2023 MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation CVPR 2023 Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets ICLR 2023 MetaQA: Combining Expert Agents for Multi-Skill Question Answering EACL 2023 Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning AAAI 2023 MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition EMNLP 2023 Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization ICML 2023 Meta Self-Refinement for Robust Learning with Weak Supervision EACL 2023 Meta Temporal Point Processes ICLR 2023 MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning AAAI 2023 Meta-training with Demonstration Retrieval for Efficient Few-shot Learning ACL 2023 MetaViewer: Towards a Unified Multi-View Representation CVPR 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Meta-ZSDETR: Zero-shot DETR with Meta-learning ICCV 2023 MGDD: A Meta Generator for Fast Dataset Distillation NeurIPS 2023 Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning Interspeech 2023