SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

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Title
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold Mohamed Yousef Tom E. Bishop AI4TS 24 81 0 12 Jun 2020
Exploring Weaknesses of VQA Models through Attribution Driven Insights Shaunak Halbe 18 2 0 11 Jun 2020
Fast Modeling and Understanding Fluid Dynamics Systems with Encoder-Decoder Networks Rohan Thavarajah X. Zhai Zhe-Rui Ma D. Castineira PINN AI4CE 21 8 0 09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei Wang AAML 54 18 0 09 Jun 2020
A Baseline for Shapley Values in MLPs: from Missingness to Neutrality Cosimo Izzo Aldo Lipani Ramin Okhrati F. Medda FAtt 6 17 0 08 Jun 2020
Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels H. Pinckaers W. Bulten J. A. van der Laak G. Litjens MedIm 6 71 0 05 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 34 390 0 03 Jun 2020
RelEx: A Model-Agnostic Relational Model Explainer Yue Zhang David DeFazio Arti Ramesh 16 105 0 30 May 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 28 266 0 29 May 2020
Assessing the validity of saliency maps for abnormality localization in medical imaging N. Arun N. Gaw Praveer Singh Ken Chang K. Hoebel J. Patel M. Gidwani Jayashree Kalpathy-Cramer 11 22 0 29 May 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 37 483 0 28 May 2020
Large scale evaluation of importance maps in automatic speech recognition V. Trinh Michael I. Mandel 18 4 0 21 May 2020
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks Arash Rahnama A.-Yu Tseng FAtt AAML FaML 17 5 0 20 May 2020
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions Xiaochuang Han Byron C. Wallace Yulia Tsvetkov MILM FAtt AAML TDI 23 165 0 14 May 2020
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications I. Ebert‐Uphoff Kyle Hilburn 24 30 0 06 May 2020
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 163 64 0 05 May 2020
Explaining AI-based Decision Support Systems using Concept Localization Maps Adriano Lucieri Muhammad Naseer Bajwa Andreas Dengel Sheraz Ahmed 27 26 0 04 May 2020
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms Pei Zhou Rahul Khanna Seyeon Lee Bill Yuchen Lin Daniel E. Ho Jay Pujara Xiang Ren ReLM 21 36 0 02 May 2020
Towards Visually Explaining Video Understanding Networks with Perturbation Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato FAtt 20 3 0 01 May 2020
WT5?! Training Text-to-Text Models to Explain their Predictions Sharan Narang Colin Raffel Katherine Lee Adam Roberts Noah Fiedel Karishma Malkan 25 197 0 30 Apr 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J Liang Lawrence Carin Yiran Chen AAML 30 84 0 27 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 28 8 0 23 Apr 2020
Improving the Interpretability of fMRI Decoding using Deep Neural Networks and Adversarial Robustness Patrick McClure Dustin Moraczewski K. Lam Adam G. Thomas Francisco Pereira FAtt AAML 16 4 0 23 Apr 2020
Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations Dan Valle Tiago Pimentel Adriano Veloso FAtt XAI AAML 28 3 0 22 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution Gary S. W. Goh Sebastian Lapuschkin Leander Weber Wojciech Samek Alexander Binder FAtt 16 34 0 22 Apr 2020
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 30 15 0 21 Apr 2020
Games for Fairness and Interpretability Eric Chu Nabeel Gillani S. Makini FaML 12 4 0 20 Apr 2020
Development and Interpretation of a Neural Network-Based Synthetic Radar Reflectivity Estimator Using GOES-R Satellite Observations Kyle Hilburn I. Ebert‐Uphoff S. Miller 19 51 0 16 Apr 2020
Explaining Regression Based Neural Network Model Mégane Millan Catherine Achard FAtt 24 3 0 15 Apr 2020
WQT and DG-YOLO: towards domain generalization in underwater object detection Hong Liu Pinhao Song Runwei Ding 17 26 0 14 Apr 2020
TSInsight: A local-global attribution framework for interpretability in time-series data Shoaib Ahmed Siddiqui Dominique Mercier Andreas Dengel Sheraz Ahmed FAtt AI4TS 13 12 0 06 Apr 2020
There and Back Again: Revisiting Backpropagation Saliency Methods Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Andrea Vedaldi FAtt XAI 22 113 0 06 Apr 2020
AutoToon: Automatic Geometric Warping for Face Cartoon Generation Julia Gong Yannick Hold-Geoffroy Jingwan Lu 3DH CVBM 14 28 0 06 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 43 216 0 30 Mar 2020
A copula-based visualization technique for a neural network Y. Kubo Yuto Komori T. Okuyama Hiroshi Tokieda FAtt 17 0 0 27 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 40 120 0 26 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 51 82 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 0 16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning Wenjie Shi Gao Huang Shiji Song Zhuoyuan Wang Tingyu Lin Cheng Wu SSL 28 18 0 16 Mar 2020
Measuring and improving the quality of visual explanations Agnieszka Grabska-Barwiñska XAI FAtt 24 3 0 14 Mar 2020
Building and Interpreting Deep Similarity Models Oliver Eberle Jochen Büttner Florian Kräutli K. Müller Matteo Valleriani G. Montavon 20 57 0 11 Mar 2020
IROF: a low resource evaluation metric for explanation methods Laura Rieger Lars Kai Hansen 28 55 0 09 Mar 2020
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes Gurpreet Singh Soumyajit Gupta Matt Lease Clint Dawson AI4TS AI4CE 22 2 0 05 Mar 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters Naman Bansal Chirag Agarwal Anh Nguyen FAtt 18 0 0 04 Mar 2020
Interpreting Interpretations: Organizing Attribution Methods by Criteria Zifan Wang Piotr (Peter) Mardziel Anupam Datta Matt Fredrikson XAI FAtt 13 17 0 19 Feb 2020
Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks Rahul Soni Naresh Shah Chua Tat Seng J. D. Moore AAML FAtt 17 8 0 10 Feb 2020
Concept Whitening for Interpretable Image Recognition Zhi Chen Yijie Bei Cynthia Rudin FAtt 31 314 0 05 Feb 2020
DANCE: Enhancing saliency maps using decoys Y. Lu Wenbo Guo Masashi Sugiyama William Stafford Noble AAML 40 14 0 03 Feb 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task Chuanguang Yang Zhulin An Xiaolong Hu Hui Zhu Yongjun Xu 12 0 0 31 Jan 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation Mamuku Mokuwe Michael G. Burke Anna Sergeevna Bosman FAtt 13 4 0 30 Jan 2020