Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

26 / 2,826 papers shown

Title
Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du Ninghao Liu Qingquan Song Xia Hu FAtt 12 125 0 19 Mar 2018
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation Jianbo Chen Le Song Martin J. Wainwright Michael I. Jordan MLT FAtt 23 560 0 21 Feb 2018
Finding Influential Training Samples for Gradient Boosted Decision Trees B. Sharchilev Yury Ustinovsky P. Serdyukov Maarten de Rijke TDI 11 55 0 19 Feb 2018
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution Lingyang Chu X. Hu Juhua Hu Lanjun Wang J. Pei 14 99 0 17 Feb 2018
Influence-Directed Explanations for Deep Convolutional Networks Klas Leino S. Sen Anupam Datta Matt Fredrikson Linyi Li TDI FAtt 27 75 0 11 Feb 2018
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab Djordje Miladinovic W. Karlen CML 21 57 0 06 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 43 3,904 0 06 Feb 2018
Evaluating neural network explanation methods using hybrid documents and morphological agreement Nina Pörner Benjamin Roth Hinrich Schütze 6 9 0 19 Jan 2018
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch Peter J. Liu Bin Yu 21 209 0 16 Jan 2018
Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation Heyi Li Yunke Tian Klaus Mueller Xin Chen FAtt 27 38 0 22 Dec 2017
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning G. Erion Hugh Chen Scott M. Lundberg Su-In Lee 8 6 0 02 Dec 2017
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 77 1,794 0 30 Nov 2017
Visual Feature Attribution using Wasserstein GANs Christian F. Baumgartner Lisa M. Koch K. Tezcan Jia Xi Ang E. Konukoglu GAN MedIm 47 145 0 24 Nov 2017
Towards better understanding of gradient-based attribution methods for Deep Neural Networks Marco Ancona Enea Ceolini Cengiz Öztireli Markus Gross FAtt 27 145 0 16 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 23 12 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 45 678 0 02 Nov 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 80 857 0 29 Oct 2017
Case Study: Explaining Diabetic Retinopathy Detection Deep CNNs via Integrated Gradients Linyi Li Matt Fredrikson S. Sen Anupam Datta FAtt 15 1 0 27 Sep 2017
Axiomatic Characterization of Data-Driven Influence Measures for Classification Jakub Sliwinski Martin Strobel Yair Zick TDI 13 14 0 07 Aug 2017
MAGIX: Model Agnostic Globally Interpretable Explanations Nikaash Puri Piyush B. Gupta Pratiksha Agarwal Sukriti Verma Balaji Krishnamurthy FAtt 21 41 0 22 Jun 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 74 2,204 0 12 Jun 2017
Learning how to explain neural networks: PatternNet and PatternAttribution Pieter-Jan Kindermans Kristof T. Schütt Maximilian Alber K. Müller D. Erhan Been Kim Sven Dähne XAI FAtt 27 338 0 16 May 2017
Detecting Statistical Interactions from Neural Network Weights Michael Tsang Dehua Cheng Yan Liu 25 192 0 14 May 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly Ethan R. Elenberg A. Dimakis Moran Feldman Amin Karbasi 17 89 0 08 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 276 13,368 0 25 Aug 2014