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The generic Deep Taylor Decomposition formula in the paper seems to be different as the formula in reference 27. The Deep Taylor Decomposition formula in Reference 27 requires selecting a root. Could …
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[Explaining nonlinear classification decisions with deep taylor decomposition](https://www.sciencedirect.com/science/article/pii/S0031320316303582)
Nonlinear methods such as Deep Neural Networks (DNN…
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* [ ] Polynomials
* [ ] Factorization
* [ ] Square-free decomposition
* [x] Grobner bases
* [ ] Partial fraction decomposition
* [ ] Resultants
* [ ] Rootfinding
* [ ] Calculus
* [ ] Lim…
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I have prepared the pytorch packages and everything, but when I run the main.py, the wrong infos come out like:
test setup failed
file C:\Users\lin\Desktop\gradduate_design\Deep Taylor for interpr…
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I think the parameter `y_time` should be optional. For example, the print method currently returns an error if the parameter is not specified
``` r
mod Number of observations: 4032
#>
#> Estima…
AQLT updated
4 months ago
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Proposals:
Talk1: RASA Stack
Basic Layout und functionality of RASA NLU and RASA CORE.
Talk2: Decomposing Feed Forward Neural Networks using Deep Taylor Decomposition.
Neural Networks are ofte…
enryH updated
5 years ago
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There are several classes related to finite difference computational methods which do not have examples, neither in the API doc nor in the Examples doc:
* http://openturns.github.io/openturns/master/…
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Hey Alber,
1. I was reading the Integrated Gradients (IG) paper and my understanding is that they backpropagate through a model **with** softmax layer. I also looked at their code to verify this an…
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Ideas, anyone?
It would also be helpful to have a flowchart regarding which prompts lead to which pages...
First prompt with more detailed custom compute:
execute
|-benchmark
|-stresser
|-custom…
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The purpose of this issue is to collect research and ideas regarding the automatic generation of rooms containing sokoban puzzles for 2-4 players.
Interesting questions:
* ensuring that generate…
ahbnr updated
3 years ago