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Interpretation of Deep Temporal Representations by Selective
  Visualization of Internally Activated Nodes

Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes

27 April 2020
Sohee Cho
Ginkyeng Lee
Wonjoon Chang
Jaesik Choi
ArXivPDFHTML

Papers citing "Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes"

2 / 2 papers shown
Title
Explainable AI for clinical and remote health applications: a survey on
  tabular and time series data
Explainable AI for clinical and remote health applications: a survey on tabular and time series data
Flavio Di Martino
Franca Delmastro
AI4TS
28
91
0
14 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1