An Overview of Computational Approaches for Interpretation Analysis

9 November 2018

Papers citing "An Overview of Computational Approaches for Interpretation Analysis"

23 / 23 papers shown

Title
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 54 32 0 21 Mar 2018
Interpreting Deep Visual Representations via Network Dissection Bolei Zhou David Bau A. Oliva Antonio Torralba FAtt MILM 55 324 0 15 Nov 2017
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 91 684 0 02 Nov 2017
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 64 780 0 02 Oct 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 68 1,188 0 28 Aug 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 278 2,257 0 24 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 50 354 0 22 Jun 2017
Toward Controlled Generation of Text Zhiting Hu Zichao Yang Xiaodan Liang Ruslan Salakhutdinov Eric Xing 153 990 0 02 Mar 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 162 3,685 0 10 Jun 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 231 9,298 0 14 Dec 2015
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 68 534 0 07 Dec 2015
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model Benjamin Letham Cynthia Rudin Tyler H. McCormick D. Madigan FAtt 60 743 0 05 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 358 7,955 0 17 Aug 2015
Mining Mid-level Visual Patterns with Deep CNN Activations Yao Li Lingqiao Liu Chunhua Shen Anton Van Den Hengel 49 54 0 21 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 318 10,050 0 10 Feb 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 228 4,665 0 21 Dec 2014
Automatic Discovery and Optimization of Parts for Image Classification S. N. Parizi Andrea Vedaldi Andrew Zisserman Pedro F. Felzenszwalb OCL 53 59 0 20 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 107 1,963 0 26 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 289 7,279 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 508 15,861 0 12 Nov 2013
A Joint Model of Language and Perception for Grounded Attribute Learning Cynthia Matuszek Nicholas FitzGerald Luke Zettlemoyer Liefeng Bo Dieter Fox LM&Ro 75 316 0 27 Jun 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 97 510 0 13 Jan 2011
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