We tackle the problem of robust novelty detection, where we aim to detec...
Deep learning models often rely only on a small set of features even whe...
To avoid failures on out-of-distribution data, recent works have sought ...
We introduce a formalization and benchmark for the unsupervised anomaly
...
In representation learning, a common approach is to seek representations...
Describing visual data into natural language is a very challenging task,...