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Mahesh Sudhakar
Mahesh Sudhakar
Verified email at mail.utoronto.ca - Homepage
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Explaining convolutional neural networks through attribution-based input sampling and block-wise feature aggregation
S Sattarzadeh, M Sudhakar, A Lem, S Mehryar, KN Plataniotis, J Jang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11639 …, 2021
212021
Integrated grad-CAM: Sensitivity-aware visual explanation of deep convolutional networks via integrated gradient-based scoring
S Sattarzadeh, M Sudhakar, KN Plataniotis, J Jang, Y Jeong, H Kim
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
142021
Ada-SISE: adaptive semantic input sampling for efficient explanation of convolutional neural networks
M Sudhakar, S Sattarzadeh, KN Plataniotis, J Jang, Y Jeong, H Kim
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
72021
SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition
S Sattarzadeh, M Sudhakar, KN Plataniotis
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
42021
Semantic input sampling for explanation (sise) of convolutional neural networks
J Jongseong, H Kim, YJ Jeong, S Lee, S Sattarzadeh, M Sudhakar, ...
US Patent App. 17/405,935, 2022
2022
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