SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover XAI 45 11 0 03 Nov 2023
Fast Shapley Value Estimation: A Unified Approach Borui Zhang Baotong Tian Wenzhao Zheng Jie Zhou Jiwen Lu TDI FAtt 27 0 0 02 Nov 2023
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma Max Torop A. Masoomi Davin Hill Kivanc Kose Stratis Ioannidis Jennifer Dy 31 4 0 01 Nov 2023
CAFE: Conflict-Aware Feature-wise Explanations Adam Dejl Hamed Ayoobi Matthew Williams Francesca Toni FAtt BDL 32 2 0 31 Oct 2023
Medical Image Denosing via Explainable AI Feature Preserving Loss Guanfang Dong Anup Basu MedIm 25 2 0 31 Oct 2023
Protecting Publicly Available Data With Machine Learning Shortcuts Nicolas M. Muller Maximilian Burgert Pascal Debus Jennifer Williams Philip Sperl Konstantin Böttinger 24 0 0 30 Oct 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 34 26 0 28 Oct 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 48 8 0 27 Oct 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 24 5 0 27 Oct 2023
This Reads Like That: Deep Learning for Interpretable Natural Language Processing Claudio Fanconi Moritz Vandenhirtz Severin Husmann Julia E. Vogt FAtt 14 2 0 25 Oct 2023
PROMINET: Prototype-based Multi-View Network for Interpretable Email Response Prediction Yuqing Wang Prashanth Vijayaraghavan Ehsan Degan 14 4 0 25 Oct 2023
On the stability, correctness and plausibility of visual explanation methods based on feature importance Romain Xu-Darme Jenny Benois-Pineau R. Giot Georges Quénot Zakaria Chihani M. Rousset Alexey Zhukov XAI FAtt 22 1 0 25 Oct 2023
Sanity checks for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 19 6 0 25 Oct 2023
Corrupting Neuron Explanations of Deep Visual Features Divyansh Srivastava Tuomas P. Oikarinen Tsui-Wei Weng FAtt AAML 25 2 0 25 Oct 2023
Instance-wise Linearization of Neural Network for Model Interpretation Zhimin Li Shusen Liu B. Kailkhura Timo Bremer Valerio Pascucci MILM FAtt 24 0 0 25 Oct 2023
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups Weiqiu You Helen Qu Marco Gatti Bhuvnesh Jain Eric Wong FAtt FaML 45 4 0 25 Oct 2023
On the Foundations of Shortcut Learning Katherine Hermann Hossein Mobahi Thomas Fel M. C. Mozer VLM 38 27 0 24 Oct 2023
Context-aware feature attribution through argumentation Jinfeng Zhong E. Negre FAtt 21 0 0 24 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 28 0 0 24 Oct 2023
Deep Integrated Explanations Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 41 7 0 23 Oct 2023
XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification Jacqueline Höllig Steffen Thoma Florian Grimm AI4TS 19 1 0 23 Oct 2023
Mobile Traffic Prediction at the Edge through Distributed and Transfer Learning Alfredo Petrella M. Miozzo Paolo Dini 20 0 0 22 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization Mohammad Reza Ghasemi Madani Pasquale Minervini 35 4 0 22 Oct 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making Yanrui Du Sendong Zhao Hao Wang Yuhan Chen Rui Bai Zewen Qiang Muzhen Cai Bing Qin 18 0 0 20 Oct 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Chongyu Fan Jiancheng Liu Yihua Zhang Eric Wong Dennis Wei Sijia Liu MU 27 126 0 19 Oct 2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging Neha Gianchandani Mahsa Dibaji Johanna Ospel Fernando Vega Higuera Mariana P. Bento M. E. MacDonald Roberto Souza 16 2 0 17 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations Shiyuan Huang Siddarth Mamidanna Shreedhar Jangam Yilun Zhou Leilani H. Gilpin LRM MILM ELM 43 66 0 17 Oct 2023
Interpreting and Controlling Vision Foundation Models via Text Explanations Haozhe Chen Junfeng Yang Carl Vondrick Chengzhi Mao 27 2 0 16 Oct 2023
LICO: Explainable Models with Language-Image Consistency Yiming Lei Zilong Li Yangyang Li Junping Zhang Hongming Shan VLM FAtt 17 7 0 15 Oct 2023
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configuration Ziqi Wen Tianqin Li Zhi Jing Tai Sing Lee OOD 27 0 0 11 Oct 2023
Human-Centered Evaluation of XAI Methods Karam Dawoud Wojciech Samek Peter Eisert Sebastian Lapuschkin Sebastian Bosse 55 4 0 11 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Yang Zhang Yawei Li Hannah Brown Mina Rezaei Bernd Bischl Philip Torr Ashkan Khakzar Kenji Kawaguchi OOD 55 1 0 10 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 53 0 0 07 Oct 2023
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations Asiful Arefeen Hassan Ghasemzadeh 36 3 0 02 Oct 2023
SMOOT: Saliency Guided Mask Optimized Online Training Ali Karkehabadi Houman Homayoun Avesta Sasan AAML 24 17 0 01 Oct 2023
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Sriram Vishwanath Hung-yi Lee AAML 15 0 0 28 Sep 2023
Neural Stochastic Differential Equations for Robust and Explainable Analysis of Electromagnetic Unintended Radiated Emissions Sumit Kumar Jha Susmit Jha Rickard Ewetz Alvaro Velasquez 18 2 0 27 Sep 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 36 1 0 26 Sep 2023
Overview of Class Activation Maps for Visualization Explainability Anh Pham Thi Minh HAI FAtt 38 5 0 25 Sep 2023
A matter of attitude: Focusing on positive and active gradients to boost saliency maps Oscar Llorente Jaime Boal Eugenio F. Sánchez-Úbeda FAtt 15 0 0 22 Sep 2023
COSE: A Consistency-Sensitivity Metric for Saliency on Image Classification Rangel Daroya Aaron Sun Subhransu Maji 35 0 0 20 Sep 2023
On Model Explanations with Transferable Neural Pathways Xinmiao Lin Wentao Bao Qi Yu Yu Kong 28 0 0 18 Sep 2023
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing Jinwen He Kai Chen Guozhu Meng Jiangshan Zhang Congyi Li FAtt AAML 46 2 0 09 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 42 7 0 04 Sep 2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning Qisen Yang Huanqian Wang Mukun Tong Wenjie Shi Gao Huang Shiji Song 35 5 0 04 Sep 2023
On the Consistency and Robustness of Saliency Explanations for Time Series Classification Chiara Balestra Bin Li Emmanuel Muller FAtt XAI AAML AI4TS 16 2 0 04 Sep 2023
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach Neha Gianchandani Mahsa Dibaji M. Bento Ethan MacDonald Roberto Souza FAtt MedIm 37 0 0 23 Aug 2023
Complex-valued neural networks for voice anti-spoofing Nicolas M. Muller Philip Sperl Konstantin Böttinger 33 14 0 22 Aug 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation M. Maruf Arka Daw Amartya Dutta Jie Bu Anuj Karpatne 17 0 0 21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 31 36 0 20 Aug 2023