bayesian meta-learning

A Meta-Learning Approach to Bayesian Causal Discovery ICLR 2025 Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024 Structured Bayesian Meta-Learning for Data-Efficient Visual-Tactile Model Estimation CoRL 2024 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 MARS: Meta-learning as Score Matching in the Function Space ICLR 2023 Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NeurIPS 2023 Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Neural Variational Dropout Processes ICLR 2022 Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021 Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021 Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021 SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021 Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020 Gradient-EM Bayesian Meta-Learning NeurIPS 2020 Meta-Learning with Shared Amortized Variational Inference ICML 2020 Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020