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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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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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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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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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[Interpretable deep neural networks for single-trial EEG classification](https://www.sciencedirect.com/science/article/pii/S0165027016302333)
_Background_
In cognitive neuroscience the potential of …
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[Evaluating the Visualization of What a Deep Neural Network Has Learned](http://ieeexplore.ieee.org/document/7552539/)
Deep neural networks (DNNs) have demonstrated impressive performance in complex …
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[Layer-wise relevance propagation for neural networks with local renormalization layers](https://link.springer.com/chapter/10.1007/978-3-319-44781-0_8)
Layer-wise relevance propagation is a framework…
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[Layer-Wise Relevance Propagation for Deep Neural Network Architectures](https://link.springer.com/chapter/10.1007/978-981-10-0557-2_87)
We present the application of layer-wise relevance propagation…
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## 一言でいうと
DNNの判断根拠を出力する手法を、ネットワークの重みは同じだが扱う入力は異なる(一方は通常の入力で片方は反転させた入力を受け取るが、出力は同じで重みも同じ)ネットワークで説明が異なるか評価(入力不変性)。結果、出力への貢献度を算出して伝搬するスタイルの手法(LRPなどの)がNGだった。
### 論文リンク
https://arxiv.org/abs/1711.…