Recent work has shown that self-supervised pre-training leads to improve...
We introduce three new robustness benchmarks consisting of naturally
occ...
Modern deep neural networks can achieve high accuracy when the training
...
We introduce the MNIST-C dataset, a comprehensive suite of 15 corruption...
Optimal parameter initialization remains a crucial problem for neural ne...