Interpretable Discovery in Large Image Data Sets

21 June 2018

Papers citing "Interpretable Discovery in Large Image Data Sets"

11 / 11 papers shown

Title
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 33 586 0 22 May 2017
Attentive Explanations: Justifying Decisions and Pointing to the Evidence Dong Huk Park Lisa Anne Hendricks Zeynep Akata Bernt Schiele Trevor Darrell Marcus Rohrbach AAML 45 79 0 14 Dec 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 340 16,765 0 16 Feb 2016
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 80 1,866 0 22 Jun 2015
Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy Thomas Brox SSL FAtt 48 662 0 09 Jun 2015
Sequential Feature Explanations for Anomaly Detection Md Amran Siddiqui Alan Fern Thomas G. Dietterich Weng-Keen Wong AI4TS 27 44 0 28 Feb 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 76 1,959 0 26 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 843 39,383 0 01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 144 14,703 0 20 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 96 4,936 0 23 Mar 2014
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 165 15,825 0 12 Nov 2013