"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach

23 December 2016

Papers citing ""What is Relevant in a Text Document?": An Interpretable Machine Learning Approach"

23 / 23 papers shown

Title
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 58 0 0 28 Jan 2025
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 86 82 0 17 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 265 2,248 0 24 Jun 2017
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 39 353 0 22 Jun 2017
A Model Explanation System: Latest Updates and Extensions Ryan Turner FAtt 32 15 0 30 Jun 2016
Explaining Predictions of Non-Linear Classifiers in NLP L. Arras F. Horn G. Montavon K. Müller Wojciech Samek FAtt 69 117 0 23 Jun 2016
Identifying individual facial expressions by deconstructing a neural network F. Arbabzadah G. Montavon K. Müller Wojciech Samek CVBM FAtt 32 31 0 23 Jun 2016
Interpretable Deep Neural Networks for Single-Trial EEG Classification I. Sturm Sebastian Bach Wojciech Samek K. Müller 49 353 0 27 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 519 16,765 0 16 Feb 2016
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Bach Alexander Binder G. Montavon K. Müller Wojciech Samek 63 199 0 01 Dec 2015
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 99 1,189 0 21 Sep 2015
Character-level Convolutional Networks for Text Classification Xiang Zhang Jiaqi Zhao Yann LeCun 180 6,046 0 04 Sep 2015
Visualizing and Understanding Neural Models in NLP Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 62 706 0 02 Jun 2015
Extraction of Salient Sentences from Labelled Documents Misha Denil Alban Demiraj Nando de Freitas 39 137 0 21 Dec 2014
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 541 13,395 0 25 Aug 2014
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models E. Kaufmann Olivier Cappé Aurélien Garivier 102 1,021 0 16 Jul 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 157 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 278 15,825 0 12 Nov 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 282 33,445 0 16 Oct 2013
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 534 31,406 0 16 Jan 2013
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models A. Mnih Yee Whye Teh 85 578 0 27 Jun 2012
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 121 7,711 0 02 Mar 2011
How to Explain Individual Classification Decisions D. Baehrens T. Schroeter Stefan Harmeling M. Kawanabe K. Hansen K. Müller FAtt 92 1,098 0 06 Dec 2009