Data augmentation in Bayesian neural networks and the cold posterior effect
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations
On Interpretable Reranking-Based Dependency Parsing Systems
Probing as Quantifying Inductive Bias
Scalable Gaussian Process Variational Autoencoders
T-DPSOM: An Interpretable Clustering Method for Unsupervised Learning of Patient Health States