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Improving Neural Network Robustness through Neighborhood Preserving
  Layers

Improving Neural Network Robustness through Neighborhood Preserving Layers

28 January 2021
Bingyuan Liu
Christopher Malon
Lingzhou Xue
E. Kruus
    AAML
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Papers citing "Improving Neural Network Robustness through Neighborhood Preserving Layers"

2 / 2 papers shown
Title
Boosting-based Construction of BDDs for Linear Threshold Functions and
  Its Application to Verification of Neural Networks
Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
Yiping Tang
Kohei Hatano
Eiji Takimoto
16
0
0
08 Jun 2023
Understanding How Dimension Reduction Tools Work: An Empirical Approach
  to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhnik
159
300
0
08 Dec 2020
1