Guided Integrated Gradients: An Adaptive Path Method for Removing Noise

17 June 2021

A. Kapishnikov

Subhashini Venugopalan

Papers citing "Guided Integrated Gradients: An Adaptive Path Method for Removing Noise"

25 / 25 papers shown

Title
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 72 0 0 10 Oct 2024
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 47 23 0 23 Oct 2020
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 14 71 0 03 Apr 2020
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 30 413 0 18 Oct 2019
The many Shapley values for model explanation Mukund Sundararajan A. Najmi TDI FAtt 18 628 0 22 Aug 2019
Explanations can be manipulated and geometry is to blame Ann-Kathrin Dombrowski Maximilian Alber Christopher J. Anders M. Ackermann K. Müller Pan Kessel AAML FAtt 29 329 0 19 Jun 2019
XRAI: Better Attributions Through Regions A. Kapishnikov Tolga Bolukbasi Fernanda Viégas Michael Terry FAtt XAI 35 212 0 06 Jun 2019
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale Alina Kuznetsova H. Rom N. Alldrin J. Uijlings Ivan Krasin ... S. Popov Matteo Malloci Alexander Kolesnikov Tom Duerig V. Ferrari ObjD VLM 57 1,340 0 02 Nov 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 89 1,159 0 19 Jun 2018
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 98 1,817 0 30 Nov 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 89 861 0 29 Oct 2017
Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy Jonathan Krause Varun Gulshan E. Rahimy Peter Karth Kasumi Widner G. Corrado L. Peng D. Webster 17 441 0 04 Oct 2017
SmoothGrad: removing noise by adding noise D. Smilkov Nikhil Thorat Been Kim F. Viégas Martin Wattenberg FAtt ODL 161 2,211 0 12 Jun 2017
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 51 1,503 1 19 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 18 1,514 0 11 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 54 5,920 0 04 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 136 19,796 0 07 Oct 2016
What do different evaluation metrics tell us about saliency models? Zoya Bylinskii Tilke Judd A. Oliva Antonio Torralba F. Durand XAI 23 815 0 12 Apr 2016
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 38 456 0 04 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 112 16,765 0 16 Feb 2016
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 102 4,653 0 21 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 64 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 605 39,383 0 01 Sep 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 51 7,252 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 58 15,825 0 12 Nov 2013