Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks

8 January 2019

Papers citing "Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks"

10 / 10 papers shown

Title
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 62 4,584 0 26 Oct 2017
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks Devinder Kumar Alexander Wong Graham W. Taylor 50 59 0 13 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 26 1,514 0 11 Apr 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 112 2,854 0 14 Mar 2017
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 40 782 0 05 May 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 107 9,266 0 14 Dec 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 48 412 0 30 Apr 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 96 1,279 0 22 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 76 1,959 0 26 Nov 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 165 15,825 0 12 Nov 2013