Interpreting Models by Allowing to Ask

Interpreting Models by Allowing to Ask

13 November 2018

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Papers citing "Interpreting Models by Allowing to Ask"

12 / 12 papers shown

Title
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data Wei-Ning Hsu Yu Zhang James R. Glass BDL SSL 84 354 0 22 Sep 2017
Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN Lvmin Zhang Yi Ji Xin Lin GAN 71 168 0 11 Jun 2017
PixColor: Pixel Recursive Colorization S. Guadarrama Ryan Dahl David Bieber Mohammad Norouzi Jonathon Shlens Kevin Patrick Murphy 70 107 0 19 May 2017
Real-Time User-Guided Image Colorization with Learned Deep Priors Richard Y. Zhang Jun-Yan Zhu Phillip Isola Xinyang Geng Angela S. Lin Tianhe Yu Alexei A. Efros HAI 120 591 0 08 May 2017
Outline Colorization through Tandem Adversarial Networks Kevin Frans GAN 64 61 0 28 Apr 2017
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 130 1,456 0 06 Dec 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel GAN 161 4,238 0 12 Jun 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 69 5,300 0 25 Apr 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 253 9,342 0 14 Dec 2015
The Fast Bilateral Solver Jonathan T. Barron Ben Poole 237 372 0 10 Nov 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 600 15,907 0 12 Nov 2013