Ameya Joshi
Ameya Joshi
Research Scientist @ Instadeep Ltd.
Verified email at - Homepage
Cited by
Cited by
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
A Joshi, A Mukherjee, S Sarkar, C Hegde
International Conference on Computer Vision (ICCV), 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
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
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
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
Adversarially Robust Learning via Entropic Regularization
G Jagatap, A Joshi, AB Chowdhury, S Garg, C Hegde
Frontiers in artificial intelligence 4, 780843, 2022
Adversarial token attacks on vision transformers
A Joshi, G Jagatap, C Hegde
arXiv preprint arXiv:2110.04337, 2021
Revisiting self-distillation
M Pham, M Cho, A Joshi, C Hegde
arXiv preprint arXiv:2206.08491, 2022
Neufenet: Neural finite element solutions with theoretical bounds for parametric pdes
B Khara, A Balu, A Joshi, S Sarkar, C Hegde, A Krishnamurthy, ...
arXiv preprint arXiv:2110.01601, 2021
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
Espn: Extremely sparse pruned networks
M Cho, A Joshi, C Hegde
2021 IEEE Data Science and Learning Workshop (DSLW), 1-8, 2021
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
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
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
Zero-Shot Insect Detection via Weak Language Supervision
B Feuer, A Joshi, M Cho, K Jani, S Chiranjeevi, ZK Deng, A Balu, ...
2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023
Differentiable programming for piecewise polynomial functions
M Cho, A Joshi, XY Lee, A Balu, A Krishnamurthy, ...
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
MZ Hasan, J Chen, J Wang, A Joshi, S Velipasalar, C Hegde, A Sharma, ...
arXiv preprint arXiv:2306.10159, 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 (2-3), 103-117, 2022
Caption supervision enables robust learners
B Feuer, A Joshi, C Hegde
arXiv preprint arXiv:2210.07396, 2022
Differentiable Spline Approximations
M Cho, A Balu, A Joshi, A Deva Prasad, B Khara, S Sarkar, ...
Advances in neural information processing systems 34, 20270-20282, 2021
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