Interpretable Deep Convolutional Neural Networks via Meta-learning

Interpretable Deep Convolutional Neural Networks via Meta-learning

2 February 2018

Xuan Liu

Papers citing "Interpretable Deep Convolutional Neural Networks via Meta-learning"

8 / 8 papers shown

Title
Interpretable & Explorable Approximations of Black Box Models Himabindu Lakkaraju Ece Kamar R. Caruana J. Leskovec FAtt 57 254 0 04 Jul 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 278 2,257 0 24 Jun 2017
TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning Jayaraman J. Thiagarajan B. Kailkhura P. Sattigeri Karthikeyan N. Ramamurthy 54 38 0 22 Nov 2016
Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt 47 64 0 17 Nov 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 411 18,334 0 27 May 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 995 16,931 0 16 Feb 2016
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 122 1,871 0 22 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014