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Vikram V. Ramaswamy
Vikram V. Ramaswamy
Verified email at cs.princeton.edu - Homepage
Title
Cited by
Cited by
Year
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
1242021
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
672022
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
622022
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
242023
New query lower bounds for submodular function minimization
A Graur, T Pollner, V Ramaswamy, SM Weinberg
arXiv preprint arXiv:1911.06889, 2019
232019
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
192023
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
15*2024
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
62022
Fair attribute classification through latent space de-biasing. In 2021 IEEE
VV Ramaswamy, SSY Kim, O Russakovsky
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9297-9306, 2021
52021
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
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Articles 1–13