Priya Goyal, Dhruv Mahajan, Abhinav Gupta, and Ishan Misra. Scaling and benchmarking self-supervised

visual representation learning. In ICCV, 2019.

Priya Goyal, Mathilde Caron, Benjamin Lefaudeux, Min Xu, Pengchao Wang, Vivek Pai, Mannat Singh,
Vitaliy Liptchinsky, Ishan Misra, Armand Joulin, et al. Self-supervised pretraining of visual features in
the wild. preprint arXiv:2103.01988, 2021.

Priya Goyal, Quentin Duval, Isaac Seessel, Mathilde Caron, Mannat Singh, Ishan Misra, Levent Sagun,
Armand Joulin, and Piotr Bojanowski. Vision models are more robust and fair when pretrained on
uncurated images without supervision. arXiv preprint arXiv:2202.08360, 2022a.

Priya Goyal, Adriana Romero Soriano, Caner Hazirbas, Levent Sagun, and Nicolas Usunier. Fairness in-
dicators for systematic assessments of visual feature extractors. In 2022 ACM Conference on Fairness,
Accountability, and Transparency, pp. 70–88, 2022b.
DINOv2- Learning Robust Visual Features without Supervision