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Filtering by: Creator Wang, Ying Contributor Fu, Xiao

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:

− 10. Final test accuracy: ”Stochastic Block ADMM”: 90.39%, ”Wang et al.”:84.67% (averaged over 5 runs
Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

Creator:

Seo, Eugene

Abstract:

Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...

Resource Type:

Dissertation

Full Text:

, Jing Wang, Vishnupriya Nochikaduthekkedath Reghunathan, Mark Roth, and Nahian Ahmed. Special thanks