Oct 19, 2022 · We propose a novel approach to address this problem without affecting the model's prediction power for the remaining classes.
First, we propose a novel technique to identify the model parameters that are highly relevant to the restricted classes, and to the best of our knowledge, there ...
Nov 3, 2022 · We propose a novel approach to address this problem without affecting the model's prediction power for the remaining classes.
Attaining Class-level Forgetting in Pretrained Model using Few Samples. October 2022. DOI:10.48550/arXiv.2210.10670. Authors: Pravendra Singh at Indian ...
Oct 23, 2022 · Our approach identifies the model parameters that are highly relevant to the restricted classes and removes the knowledge regarding the ...
Our approach is significantly faster and performs similar to the model re-trained on the complete data of the remaining classes. ResearchGate Logo. Discover the ...
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. Pravendra Singh*,. Pratik Mazumder. , Mohammed Karim Asad. Published in. 2021. Pages: ...
Our approach identifies the model parameters that are highly relevant to the restricted classes and removes the knowledge regarding the restricted classes from ...
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples ... Developed and Maintaining by S. R. Ranganathan Learning Hub, IIT Jodhpur. Built with ...
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Attaining Class-Level Forgetting in Pretrained Model Using Few Samples. P Singh, P Mazumder, MA Karim. European Conference on Computer Vision, 433-448, 2022. 1 ...