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Papers (including subtopics)

Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023 Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference NeurIPS 2023 Meta-Learning for Adaptation of Deep Optical Flow Networks WACV 2023 Meta-Learning for Fast Model Recommendation in Unsupervised Multivariate Time Series Anomaly Detection AutoML 2023 Meta-Learning for Simple Regret Minimization AAAI 2023 Meta Learning in Decentralized Neural Networks: Towards More General AI AAAI 2023 Meta-Learning in Games ICLR 2023 Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service EMNLP 2023 Meta-Learning Online Adaptation of Language Models EMNLP 2023 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 Metaphor Detection with Effective Context Denoising EACL 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