1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
On Model Explanations with Transferable Neural Pathways
Xinmiao Lin, Wentao Bao, Qi Yu +1
Neural pathways as model explanations consist of a sparse set of neurons that provide the same level of prediction performance as the whole model. Existing methods primarily focus…
cs.CV2023★ 1 cited
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin, Yikang Li, Jenhao Hsiao +2
The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as th…
cs.CV2021★ 1 cited
Gradient Frequency Modulation for Visually Explaining Video Understanding Models
Xinmiao Lin, Wentao Bao, Matthew Wright +1
In many applications, it is essential to understand why a machine learning model makes the decisions it does, but this is inhibited by the black-box nature of state-of-the-art neur…