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Techniques for Interpretable Machine Learning
31 July 2018
Mengnan Du
Ninghao Liu
Helen Zhou
FaML
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Papers citing
"Techniques for Interpretable Machine Learning"
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02 Jun 2020
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Véronique Masson
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Joint learning of interpretation and distillation
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Guofu Li
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Shenghong Li
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90
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24 May 2020
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Eric M. S. P. Veith
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Elisa Fromont
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361
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07 May 2020
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Xuanhui Wang
Michael Bendersky
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Lev V. Utkin
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235
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Matthias Samwald
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Ambreen Nazir
165
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28 Apr 2020
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Parisa Rashidi
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203
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Chao Chen
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Sihong Xie
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21 Apr 2020
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Samsun Knight
182
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08 Apr 2020
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Lev V. Utkin
E. Kasimov
443
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18 Mar 2020
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Agus Sudjianto
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324
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Primož Kocbek
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Leona Cilar
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20 Feb 2020
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215
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10 Feb 2020
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A. Smeulders
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153
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126
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26 Jan 2020
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Jinjun Xiong
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Ge Wang
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479
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Nick Bassiliades
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449
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172
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179
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Markus Wagner
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411
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246
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13 Sep 2019
FDA: Feature Disruptive Attack
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274
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Fairness in Deep Learning: A Computational Perspective
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Mengnan Du
Fan Yang
Na Zou
Helen Zhou
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214
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Mengnan Du
Ninghao Liu
Fan Yang
Helen Zhou
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280
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0
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Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
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Yi-Wei Chen
Qingquan Song
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157
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Evaluating Explanation Without Ground Truth in Interpretable Machine Learning
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Mengnan Du
Helen Zhou
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Zicun Cong
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X. Hu
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821
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