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Nupur Kumari
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Charting the right manifold: Manifold mixup for few-shot learning
P Mangla, N Kumari, A Sinha, M Singh, B Krishnamurthy, ...
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
3482020
Multi-concept customization of text-to-image diffusion
N Kumari, B Zhang, R Zhang, E Shechtman, JY Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
3242023
Ensembling off-the-shelf models for gan training
N Kumari, R Zhang, E Shechtman, JY Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
732022
Harnessing the vulnerability of latent layers in adversarially trained models
N Kumari, M Singh, A Sinha, H Machiraju, B Krishnamurthy, ...
Proceedings of the 28th International Joint Conference on Artificial …, 2019
65*2019
Ablating Concepts in Text-to-Image Diffusion Models
N Kumari, B Zhang, SY Wang, E Shechtman, R Zhang, JY Zhu
Proceedings of the IEEE International Conference on Computer Vision, 2023
532023
Attributional robustness training using input-gradient spatial alignment
M Singh, N Kumari, P Mangla, A Sinha, VN Balasubramanian, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
28*2020
Lt-gan: Self-supervised gan with latent transformation detection
P Patel, N Kumari, M Singh, B Krishnamurthy
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
222021
On the Benefits of Models with Perceptually-Aligned Gradients
G Aggarwal, A Sinha, N Kumari, M Singh
arXiv preprint arXiv:2005.01499, 2020
132020
A Method for Computing Class-wise Universal Adversarial Perturbations
T Gupta, A Sinha, N Kumari, M Singh, B Krishnamurthy
arXiv preprint arXiv:1912.00466, 2019
122019
Data instance prior (DISP) in generative adversarial networks
P Mangla, N Kumari, M Singh, B Krishnamurthy, VN Balasubramanian
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
92022
Content-Based Search for Deep Generative Models
D Lu, SY Wang, N Kumari, R Agarwal, D Bau, JY Zhu
arXiv preprint arXiv:2210.03116, 2022
62022
Multimapper: Data Density Sensitive Topological Visualization
B Deb, A Sarkar, N Kumari, A Rupela, P Gupta, B Krishnamurthy
2018 IEEE International Conference on Data Mining Workshops (ICDMW), 1054-1061, 2018
42018
Shapevis: High-dimensional data visualization at scale
N Kumari, A Rupela, P Gupta, B Krishnamurthy
Proceedings of The Web Conference 2020, 2920-2926, 2020
32020
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Articles 1–13