Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
PAC-Bayesian Meta-Learning: From Theory to Practice
Probing as Quantifying the Inductive Bias of Pre-trained Representations
Scalable Gaussian Process Variational Autoencoders
T-DPSOM: An Interpretable Clustering Method for Unsupervised Learning of Patient Health States
Conservative Uncertainty Estimation By Fitting Prior Networks