| Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers A Joshi, A Mukherjee, S Sarkar, C Hegde International Conference on Computer Vision (ICCV), 2019 | 125 | 2019 |
| InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models A Joshi, M Cho, V Shah, B Pokuri, S Sarkar, B Ganapathysubramanian, ... The 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 53* | 2020 |
| Selective network linearization for efficient private inference M Cho, A Joshi, B Reagen, S Garg, C Hegde International Conference on Machine Learning, 3947-3961, 2022 | 44 | 2022 |
| Fast inverse design of microstructures via generative invariance networks XY Lee, JR Waite, CH Yang, BSS Pokuri, A Joshi, A Balu, C Hegde, ... Nature Computational Science 1 (3), 229-238, 2021 | 42 | 2021 |
| Detection of diabetic macular edema in optical coherence tomography scans using patch based deep learning A Vahadane, A Joshi, K Madan, TR Dastidar 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 30 | 2018 |
| Revisiting self-distillation M Pham, M Cho, A Joshi, C Hegde arXiv preprint arXiv:2206.08491, 2022 | 23 | 2022 |
| NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs B Khara, A Balu, A Joshi, S Sarkar, C Hegde, A Krishnamurthy, ... Engineering with Computers, 1-23, 2024 | 21 | 2024 |
| Adversarial token attacks on vision transformers A Joshi, G Jagatap, C Hegde arXiv preprint arXiv:2110.04337, 2021 | 20 | 2021 |
| Adversarially Robust Learning via Entropic Regularization G Jagatap, A Joshi, AB Chowdhury, S Garg, C Hegde Frontiers in artificial intelligence 4, 780843, 2022 | 18 | 2022 |
| Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos M Zahid Hasan, J Chen, J Wang, M Shaiqur Rahman, A Joshi, ... arXiv e-prints, arXiv: 2306.10159, 2023 | 14* | 2023 |
| Zero‐shot insect detection via weak language supervision B Feuer, A Joshi, M Cho, S Chiranjeevi, ZK Deng, A Balu, AK Singh, ... The Plant Phenome Journal 7 (1), e20107, 2024 | 12 | 2024 |
| Identity-preserving aging of face images via latent diffusion models S Banerjee, G Mittal, A Joshi, C Hegde, N Memon 2023 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2023 | 10 | 2023 |
| Deep generative models that solve pdes: Distributed computing for training large data-free models S Botelho, A Joshi, B Khara, V Rao, S Sarkar, C Hegde, S Adavani, ... 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020 | 9 | 2020 |
| Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models A Mukherjee, A Joshi, S Sarkar, C Hegde CVPR 2019, Workshop on Vision for All Seasons (VAS), 2019 | 9 | 2019 |
| Espn: Extremely sparse pruned networks M Cho, A Joshi, C Hegde 2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021 | 8 | 2021 |
| Generative Models for Solving Nonlinear Partial Differential Equations A Joshi, V Shah, S Ghosal, B Pokuri, S Sarkar, B Ganapathysubramanian, ... NeurIPS Workshop on ML for Physics, 2019, 2019 | 8 | 2019 |
| Weakly supervised fluid filled region localization in retinal OCT scans SR Athar, A Vahadane, A Joshi, TR Dastidar 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 8 | 2018 |
| A meta-analysis of distributionally-robust models B Feuer, A Joshi, C Hegde arXiv preprint arXiv:2206.07565, 2022 | 4 | 2022 |
| Distributionally robust classification on a data budget B Feuer, A Joshi, M Pham, C Hegde arXiv preprint arXiv:2308.03821, 2023 | 3 | 2023 |
| Generative semantic domain adaptation for perception in autonomous driving A Mukherjee, A Joshi, A Sharma, C Hegde, S Sarkar Journal of big data analytics in transportation 4 (2), 103-117, 2022 | 3 | 2022 |
Chinmay HegdeNew York UniversityVerified email at nyu.edu
