What gripes do you have with LaTeX's default, and what you always add to papers? Here are mine: 1. Cleveref. Don't use "Section \ref{sec:intro}". Use \Cref{sec:intro}. This makes writing less error prone and it makes "Section" part of the hyperlink! texblog.org/2013/05/06/cle… 2. Add colors to your hyperlinks. With hyperref, I like `\hypersetup{citecolor=MidnightBlue}`.

Snippet 1 from the #NeurIPS2020 tutorial: @balajiln What do we mean by uncertainty and out-of-distribution robustness? nips.cc/virtual/2020/t… Snippet 2: On even simple benchmarks, neural networks are not only poor at generalizing to OOD but also degrade in their uncertainty estimates.

Tomorrow @latentjasper @balajiln and I present a #NeurIPS2020 tutorial on "Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning". Whether you're new to the area or an expert, there is critically useful info! 8-10:30a PT nips.cc/virtual/2020/t… The talk is split into three sections: 1. Why Uncertainty & Robustness; 2. Foundations; and 3. Recent Advances.

How I spent this weekend: upgrading my battlestation. Cable management is a huge quality of life improvement.

Check out BatchEnsemble: Efficient Ensembling with Rank 1 Perturbations at the #NeurIPS2019 Bayesian DL workshop. Better accuracies and uncertainty than dropout and competitive with ensembles across a wide range of tasks. 1/- It’s a drop in replacement for individual layers, like dropout, batchnorm, and variational layers and is available with baselines and Bayesian layers at github.com/google/edward2. 2/-