High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC

High-frequency Component Helps Explain the Generalization of Convolutional Neural Networks | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=Njpip9-_Xug


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Duration: 57:09
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For slides and more information on the paper, visit https://ai.science/e/high-frequency-component-helps-explain-the-generalization-of-convolutional-neural-networks--HVAyCyALo5x54CyWLPXv

Speaker: Haohan Wang; Host: Ali El-Sharif

Motivation:
Computer Vision implementations based on Convolutional Neural Networks (CNN) have been reported to be unstable and vulnerable to adversarial attacks that are not visible to humans. This work investigates frequency spectrum of image data to explain the generalization behaviors convolutional neural networks (CNN).



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Tags:
machine learning
deep learning
al interpretability
ai explainability
machine learning research