SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Shapley Explanation Networks Rui Wang Xiaoqian Wang David I. Inouye TDI FAtt 27 44 0 06 Apr 2021
Reliably fast adversarial training via latent adversarial perturbation Geon Yeong Park Sang Wan Lee AAML 20 26 0 04 Apr 2021
Exploring the Role of BERT Token Representations to Explain Sentence Probing Results Hosein Mohebbi Ali Modarressi Mohammad Taher Pilehvar MILM 27 24 0 03 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 28 118 0 03 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht Seong Tae Kim Nassir Navab 29 32 0 31 Mar 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 31 306 0 29 Mar 2021
Efficient Explanations from Empirical Explainers Robert Schwarzenberg Nils Feldhus Sebastian Möller FAtt 32 9 0 29 Mar 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation Dohun Lim Hyeonseok Lee Sungchan Kim FAtt AAML 31 13 0 26 Mar 2021
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 16 7 0 25 Mar 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks Qing-Long Zhang Lu Rao Yubin Yang 16 58 0 25 Mar 2021
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers Dheeraj Rajagopal Vidhisha Balachandran Eduard H. Hovy Yulia Tsvetkov MILM SSL FAtt AI4TS 19 65 0 23 Mar 2021
Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps Satvik Garg Somya Garg 30 61 0 22 Mar 2021
Weakly Supervised Recovery of Semantic Attributes Ameen Ali Tomer Galanti Evgeniy Zheltonozhskiy Chaim Baskin Lior Wolf 37 0 0 22 Mar 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Xia Hu G. Gu AAML 31 4 0 22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 35 25 0 20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim Siwon Kim Minji Seo Sungroh Yoon ViT FAtt 24 113 0 19 Mar 2021
Noise Modulation: Let Your Model Interpret Itself Haoyang Li Xinggang Wang FAtt AAML 14 0 0 19 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 33 75 0 18 Mar 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation Jungbeom Lee Jihun Yi Chaehun Shin Sungroh Yoon ISeg 24 172 0 16 Mar 2021
CACTUS: Detecting and Resolving Conflicts in Objective Functions Subhajit Das Alex Endert 27 0 0 13 Mar 2021
Simulating time to event prediction with spatiotemporal echocardiography deep learning R. Shad Nicolas Quach R. Fong P. Kasinpila C. Bowles ... Michelle C. Li J. Teuteberg John P. Cunningham C. Langlotz W. Hiesinger 17 0 0 03 Mar 2021
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays H. Abdulah B. Huber Sinan Lal H. Abdallah L. Palese H. Soltanian-Zadeh D. Gatti 19 4 0 26 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 221 0 25 Feb 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 31 57 0 25 Feb 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 14 0 0 24 Feb 2021
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations Sushant Agarwal S. Jabbari Chirag Agarwal Sohini Upadhyay Zhiwei Steven Wu Himabindu Lakkaraju FAtt AAML 32 60 0 21 Feb 2021
Robust Domain-Free Domain Generalization with Class-aware Alignment Wenyu Zhang Mohamed Ragab Ramón Sagarna OOD 41 9 0 17 Feb 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 41 13 0 17 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 37 380 0 09 Feb 2021
Noise Optimization for Artificial Neural Networks Li Xiao Zeliang Zhang Yijie Peng 39 13 0 06 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen Boyang Albert Li Han Yu Pengcheng Wu Chunyan Miao TDI 27 39 0 04 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 54 35 0 02 Feb 2021
Counterfactual Generation with Knockoffs Oana-Iuliana Popescu M. Shadaydeh Joachim Denzler 13 6 0 01 Feb 2021
An explainable Transformer-based deep learning model for the prediction of incident heart failure Shishir Rao Yikuan Li R. Ramakrishnan A. Hassaine D. Canoy J. Cleland Thomas Lukasiewicz G. Salimi-Khorshidi K. Rahimi MedIm 18 70 0 27 Jan 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation Fan Yang Ninghao Liu Mengnan Du X. Hu OOD 11 17 0 18 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation Adria Ruiz Antonio Agudo Francesc Moreno FAtt 19 1 0 17 Jan 2021
Towards Interpretable Ensemble Learning for Image-based Malware Detection Yuzhou Lin Xiaolin Chang AAML 15 8 0 13 Jan 2021
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks Yanghao Zhang Fu Lee Wang Wenjie Ruan AAML 56 10 0 04 Jan 2021
On Baselines for Local Feature Attributions Johannes Haug Stefan Zurn Peter El-Jiz Gjergji Kasneci FAtt 24 31 0 04 Jan 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging Han Guo Nazneen Rajani Peter Hase Joey Tianyi Zhou Caiming Xiong TDI 41 102 0 31 Dec 2020
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques David Morales Estefanía Talavera B. Remeseiro 16 6 0 28 Dec 2020
Explaining NLP Models via Minimal Contrastive Editing (MiCE) Alexis Ross Ana Marasović Matthew E. Peters 38 121 0 27 Dec 2020
Inserting Information Bottlenecks for Attribution in Transformers Zhiying Jiang Raphael Tang Ji Xin Jimmy J. Lin 41 6 0 27 Dec 2020
On self-supervised multi-modal representation learning: An application to Alzheimer's disease A. Fedorov Lei Wu Tristan Sylvain Margaux Luck T. DeRamus Dmitry Bleklov Sergey Plis Vince D. Calhoun SSL 14 16 0 25 Dec 2020
QUACKIE: A NLP Classification Task With Ground Truth Explanations Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki 32 3 0 24 Dec 2020
Analyzing Representations inside Convolutional Neural Networks Uday Singh Saini Evangelos E. Papalexakis FAtt 27 2 0 23 Dec 2020
Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts Kaivalya Rawal Ece Kamar Himabindu Lakkaraju 15 40 0 22 Dec 2020