Search Results for author: Mahsa Paknezhad

Found 3 papers, 3 papers with code

PaRT: Parallel Learning Towards Robust and Transparent AI

1 code implementation • 24 Jan 2022 • Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee

Each subset consists of network segments, that can be combined and shared across specific tasks.

Continual Learning Multi-Task Learning +1

Paper
Code

Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis

1 code implementation • 1 Mar 2021 • Mahsa Paknezhad, Cuong Phuc Ngo, Amadeus Aristo Winarto, Alistair Cheong, Chuen Yang Beh, Jiayang Wu, Hwee Kuan Lee

We found that models trained using our framework, as well as other regularization methods and adversarial training support our hypothesis of data sparsity and that models trained with these methods learn to have decision boundaries more similar to the aforementioned ideal decision boundary.

Adversarial Robustness

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Code

Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts

1 code implementation • 28 Feb 2020 • Mahsa Paknezhad, Sheng Yang Michael Loh, Yukti Choudhury, Valerie Koh Cui Koh, TimothyTay Kwang Yong, Hui Shan Tan, Ravindran Kanesvaran, Puay Hoon Tan, John Yuen Shyi Peng, Weimiao Yu, Yongcheng Benjamin Tan, Yong Zhen Loy, Min-Han Tan, Hwee Kuan Lee

Motivation: High resolution 2D whole slide imaging provides rich information about the tissue structure.

whole slide images

Paper
Code

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