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Filtering by: Creator Brett, M. Contributor Fu, Xiao Degree Name Master of Science (M.S.)

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:

Khorram, Saeed

Abstract:

In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...

Resource Type:

Masters Thesis

Full Text:

) Pixel-level probability Sn,mip,jp ; (b) Voronoi-based probability S n,m p for the example image in