16 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 16 cited
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu +2
In this paper, we show that recent advances in self-supervised feature learning enable unsupervised object discovery and semantic segmentation with a performance that matches the s…
cs.LG2021★ 1 cited
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi, Alex Beutel, Matthaeus Kleindessner +2
Training and evaluation of fair classifiers is a challenging problem. This is partly due to the fact that most fairness metrics of interest depend on both the sensitive attribute i…