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marcoancona
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DeepExplain
A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
https://arxiv.org/abs/1711.06104
MIT License
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Update README.md
#22
yuhui-zh15
closed
5 years ago
0
Apply Deep Explain on LR
#21
tangxuning
closed
5 years ago
2
Visual Interpretation on Attributions -- text classifications with LRP
#20
looraL
opened
5 years ago
3
using DeepExplain for time-series classification
#19
tmazaev
opened
5 years ago
2
DeepExplain with the concat-layer as input
#18
JoshPrim
opened
6 years ago
2
Using contributions for k-NN search
#17
EoinKenny
closed
6 years ago
5
3D Saliency
#16
jdcuevas-lbl
closed
5 years ago
1
Question about EpsilonLRP
#15
baha-m
closed
6 years ago
0
Can you give your approval for this description of DeepLIFT as implemented in the DeepExplain repo?
#14
AvantiShri
closed
6 years ago
2
Problem on recreating the graph with trained weights (TensorFlow)
#13
maosi-chen
opened
6 years ago
3
How to get the heatmap instead of overlay image?
#12
kilickaya
closed
6 years ago
6
Error with MNIST example for DeepLift attributions
#11
donigian
closed
6 years ago
2
ValueError: None values not supported
#10
andgan
closed
6 years ago
5
Incorrect Implementation of Gradient*Input and Integrated Gradients
#9
agakshat
closed
6 years ago
1
Null explanation values
#8
baha-m
closed
6 years ago
11
Keras BatchNormalization Layer breaks DeepLIFT for mnist_cnn_keras example
#7
vlawhern
closed
6 years ago
1
LRP for text classification - DeepExplain context and attribution sum
#6
ghost
closed
6 years ago
10
Support for multiple inputs
#5
vagarwal87
closed
6 years ago
10
Need some help
#4
m273033
closed
6 years ago
4
'Garter Snake' attribution comparison example codes needed
#3
yulongwang12
closed
6 years ago
2
Grad-CAM
#2
cancan101
opened
6 years ago
0
PyTorch support
#1
shubhamjain0594
opened
6 years ago
2
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