41 citations · 88 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 1 cited
Out-distribution aware Self-training in an Open World Setting
Maximilian Augustin, Matthias Hein
Deep Learning heavily depends on large labeled datasets which limits further improvements. While unlabeled data is available in large amounts, in particular in image recognition, i…
cs.LG2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability
Maximilian Augustin, Alexander Meinke, Matthias Hein
Neural networks have led to major improvements in image classification but suffer from being non-robust to adversarial changes, unreliable uncertainty estimates on out-distribution…