1 code implementation • NeurIPS 2023 • Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang
Human-centric computer vision (HCCV) data curation practices often neglect privacy and bias concerns, leading to dataset retractions and unfair models.
1 code implementation • 21 Oct 2022 • Dora Zhao, Jerone T. A. Andrews, Alice Xiang
We show models can learn to exploit correlations with respect to multiple attributes (e. g., {$\texttt{computer}$, $\texttt{keyboard}$}), which are not accounted for by current metrics.
no code implementations • ICCV 2023 • Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
Gender biases are known to exist within large-scale visual datasets and can be reflected or even amplified in downstream models.
1 code implementation • ICCV 2021 • Dora Zhao, Angelina Wang, Olga Russakovsky
Image captioning is an important task for benchmarking visual reasoning and for enabling accessibility for people with vision impairments.
2 code implementations • ECCV 2020 • Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
Machine learning models are known to perpetuate and even amplify the biases present in the data.