Black-Box Saliency Map Generation Using Bayesian Optimisation

Black-Box Saliency Map Generation Using Bayesian Optimisation

30 January 2020

Michael G. Burke

Anna Sergeevna Bosman

Papers citing "Black-Box Saliency Map Generation Using Bayesian Optimisation"

11 / 11 papers shown

Title
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 64 415 0 18 Oct 2019
The (Un)reliability of saliency methods Pieter-Jan Kindermans Sara Hooker Julius Adebayo Maximilian Alber Kristof T. Schütt Sven Dähne D. Erhan Been Kim FAtt XAI 91 685 0 02 Nov 2017
Real Time Image Saliency for Black Box Classifiers P. Dabkowski Y. Gal 62 589 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,518 0 11 Apr 2017
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 241 9,305 0 14 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 240 4,665 0 21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 301 7,289 0 20 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 287 6,274 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 563 15,874 0 12 Nov 2013
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 126 1,102 0 06 Dec 2009