| Fair attribute classification through latent space de-biasing VV Ramaswamy, SSY Kim, O Russakovsky Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 143 | 2021 |
| HIVE: Evaluating the human interpretability of visual explanations SSY Kim, N Meister, VV Ramaswamy, R Fong, O Russakovsky European Conference on Computer Vision, 280-298, 2022 | 78 | 2022 |
| Towards intersectionality in machine learning: Including more identities, handling underrepresentation, and performing evaluation A Wang, VV Ramaswamy, O Russakovsky Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 74 | 2022 |
| Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability VV Ramaswamy, SSY Kim, R Fong, O Russakovsky Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Gender artifacts in visual datasets N Meister, D Zhao, A Wang, VV Ramaswamy, R Fong, O Russakovsky Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 24 | 2023 |
| Geode: a geographically diverse evaluation dataset for object recognition VV Ramaswamy, SY Lin, D Zhao, A Adcock, L van der Maaten, ... Advances in Neural Information Processing Systems 36, 2024 | 23* | 2024 |
| New query lower bounds for submodular function minimization A Graur, T Pollner, V Ramaswamy, SM Weinberg arXiv preprint arXiv:1911.06889, 2019 | 23 | 2019 |
| ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features VV Ramaswamy, SSY Kim, N Meister, R Fong, O Russakovsky arXiv preprint arXiv:2206.07690, 2022 | 7 | 2022 |
| Beyond web-scraping: Crowd-sourcing a geodiverse dataset VV Ramaswamy, SY Lin, D Zhao, AB Adcock, L van der Maaten, ... arXiv preprint, 2023 | 5 | 2023 |
| Hive: evaluating the human interpretability of visual explanations SSY Kim, N Meister, VV Ramaswamy, R Fong, O Russakovsky arXiv preprint arXiv:2112.03184, 2021 | 5 | 2021 |
| UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs VV Ramaswamy, SSY Kim, R Fong, O Russakovsky arXiv preprint arXiv:2303.15632, 2023 | | 2023 |
| Tackling Bias Within Computer Vision Models VV Ramaswamy Princeton University, 2023 | | 2023 |
| Space complexity of reachability testing in labelled graphs V Ramaswamy, J Sarma, KS Sunil Journal of Computer and System Sciences 105, 40-53, 2019 | | 2019 |
| Supplementary Material: Fair Attribute Classification through Latent Space De-biasing VV Ramaswamy, SSY Kim, O Russakovsky | | |
Olga RussakovskyAssociate Professor, Princeton University在 cs.princeton.edu 的电子邮件经过验证
