Artykuły udostępnione publicznie: - Yogesh BalajiWięcej informacji
Dostępne w jakimś miejscu: 13
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S Sankaranarayanan, Y Balaji, CD Castillo, R Chellappa
CVPR 2018, 2017
Upoważnienia: US Department of Defense, US Office of the Director of National Intelligence
Metareg: Towards domain generalization using meta-regularization
Y Balaji, S Sankaranarayanan, R Chellappa
Advances in neural information processing systems 31, 2018
Upoważnienia: US Department of Defense, UK Engineering and Physical Sciences Research Council
Learning from synthetic data: Addressing domain shift for semantic segmentation
S Sankaranarayanan, Y Balaji, A Jain, SN Lim, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Upoważnienia: US Department of Defense, UK Engineering and Physical Sciences Research Council
Preserve your own correlation: A noise prior for video diffusion models
S Ge, S Nah, G Liu, T Poon, A Tao, B Catanzaro, D Jacobs, JB Huang, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Upoważnienia: US National Science Foundation
Learning to balance specificity and invariance for in and out of domain generalization
P Chattopadhyay, Y Balaji, J Hoffman
Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020
Upoważnienia: US Department of Defense
Curriculum manager for source selection in multi-source domain adaptation
L Yang, Y Balaji, SN Lim, A Shrivastava
Computer vision–ECCV 2020: 16th European conference, Glasgow, UK, August 23 …, 2020
Upoważnienia: US Department of Defense
Robust optimal transport with applications in generative modeling and domain adaptation
Y Balaji, R Chellappa, S Feizi
Advances in Neural Information Processing Systems 33, 12934-12944, 2020
Upoważnienia: US National Science Foundation, US Department of Energy, US Department of …
Normalized wasserstein for mixture distributions with applications in adversarial learning and domain adaptation
Y Balaji, R Chellappa, S Feizi
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Upoważnienia: US National Science Foundation, US Department of Defense
A comprehensive study of image classification model sensitivity to foregrounds, backgrounds, and visual attributes
M Moayeri, P Pope, Y Balaji, S Feizi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Upoważnienia: US National Science Foundation, US Department of Defense
Winning lottery tickets in deep generative models
NM Kalibhat, Y Balaji, S Feizi
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8038-8046, 2021
Upoważnienia: US National Science Foundation
Entropic gans meet vaes: A statistical approach to compute sample likelihoods in gans
Y Balaji, H Hassani, R Chellappa, S Feizi
International Conference on Machine Learning, 414-423, 2019
Upoważnienia: US Department of Defense
Adversarial robustness of flow-based generative models
P Pope, Y Balaji, S Feizi
International Conference on Artificial Intelligence and Statistics, 3795-3805, 2020
Upoważnienia: US National Science Foundation
Unsupervised anomaly detection with adversarial mirrored autoencoders
G Somepalli, Y Wu, Y Balaji, B Vinzamuri, S Feizi
Uncertainty in Artificial Intelligence, 365-375, 2021
Upoważnienia: US National Science Foundation
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