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1802.00541
Cited By
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations
2 February 2018
M. Harradon
Jeff Druce
Brian E. Ruttenberg
BDL
CML
Re-assign community
ArXiv
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Papers citing
"Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations"
11 / 11 papers shown
Title
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
Yuxiao Cheng
Xinxin Song
Ziqian Wang
Qin Zhong
Kunlun He
J. Suo
OOD
CML
107
0
0
04 Feb 2025
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
61
330
0
11 Jan 2018
Relating Input Concepts to Convolutional Neural Network Decisions
Ning Xie
Md Kamruzzaman Sarker
Derek Doran
Pascal Hitzler
M. Raymer
FAtt
52
15
0
21 Nov 2017
Fine-Grained Car Detection for Visual Census Estimation
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Li Fei-Fei
110
117
0
07 Sep 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
232
19,796
0
07 Oct 2016
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
63
4,153
0
25 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
746
16,828
0
16 Feb 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
201
18,922
0
20 Dec 2014
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
99
1,959
0
26 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
214
7,252
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
389
15,825
0
12 Nov 2013
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