conftrace_

bayesian meta-learning

17 papers

Explore in graph

Co-occurring keywords

few-shot learning (3398) uncertainty quantification (1393) bayesian inference (1907) quality estimation (232) machine translation (2499) variational inference (2069) matrix-valued kernel (3) distributional shift (60) uncertainty estimation (648) empirical baye (44)

Papers

Information-theoretic Analysis of Bayesian Test Data Sensitivity AISTATS 2024
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients AAAI 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification NIPS 2023
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022
Uncertainty-Guided Model Generalization to Unseen Domains CVPR 2021
Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021
Variational Continual Bayesian Meta-Learning NIPS 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation IJCNLP 2021
Bayesian Model-Agnostic Meta-Learning with Matrix-Valued Kernels for Quality Estimation ACL 2021
Continual Quality Estimation with Online Bayesian Meta-Learning IJCNLP 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021
SMIL: Multimodal Learning with Severely Missing Modality AAAI 2021
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference WACV 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs ICML 2020
Gradient-EM Bayesian Meta-Learning NIPS 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NIPS 2020