SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

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Title
Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking Tianyi Luo Rui Meng Xinze Wang Yongxu Liu 33 4 0 28 Mar 2022
Core Risk Minimization using Salient ImageNet Sahil Singla Mazda Moayeri S. Feizi 35 14 0 28 Mar 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 17 19 0 27 Mar 2022
A Speech Representation Anonymization Framework via Selective Noise Perturbation Minh Tran M. Soleymani 35 4 0 26 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations Steven Hicks A. Storaas Michael Riegler Cise Midoglu Malek Hammou Thomas de Lange Sravanthi Parasa Pål Halvorsen Inga Strümke XAI FAtt 24 4 0 23 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 50 7 0 17 Mar 2022
The Mathematics of Artificial Intelligence Gitta Kutyniok 26 0 0 16 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler FAtt AI4TS 40 5 0 14 Mar 2022
Rethinking Stability for Attribution-based Explanations Chirag Agarwal Nari Johnson Martin Pawelczyk Satyapriya Krishna Eshika Saxena Marinka Zitnik Himabindu Lakkaraju FAtt 32 50 0 14 Mar 2022
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? Weina Jin Xiaoxiao Li Ghassan Hamarneh 27 51 0 12 Mar 2022
Visualizing and Understanding Patch Interactions in Vision Transformer Jie Ma Yalong Bai Bineng Zhong Wei Zhang Ting Yao Tao Mei ViT 23 33 0 11 Mar 2022
Robustness and Usefulness in AI Explanation Methods Erick Galinkin FAtt 28 1 0 07 Mar 2022
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks L. Brocki N. C. Chung AAML 24 4 0 06 Mar 2022
Concept-based Explanations for Out-Of-Distribution Detectors Jihye Choi Jayaram Raghuram Ryan Feng Jiefeng Chen S. Jha Atul Prakash OODD 27 12 0 04 Mar 2022
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations Yiwei Lyu Paul Pu Liang Zihao Deng Ruslan Salakhutdinov Louis-Philippe Morency 26 31 0 03 Mar 2022
Human-Centered Concept Explanations for Neural Networks Chih-Kuan Yeh Been Kim Pradeep Ravikumar FAtt 47 26 0 25 Feb 2022
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions Daniel Lundstrom Tianjian Huang Meisam Razaviyayn FAtt 30 64 0 24 Feb 2022
Explanatory Paradigms in Neural Networks Ghassan AlRegib Mohit Prabhushankar FAtt XAI 21 12 0 24 Feb 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber Sebastian Pokutta FAtt 28 8 0 23 Feb 2022
Evaluating Feature Attribution Methods in the Image Domain Arne Gevaert Axel-Jan Rousseau Thijs Becker D. Valkenborg T. D. Bie Yvan Saeys FAtt 27 22 0 22 Feb 2022
Toward More Generalized Malicious URL Detection Models Yun-Da Tsai Cayon Liow Yin Sheng Siang Shou-De Lin 14 11 0 21 Feb 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
Guidelines and Evaluation of Clinical Explainable AI in Medical Image Analysis Weina Jin Xiaoxiao Li M. Fatehi Ghassan Hamarneh ELM XAI 42 87 0 16 Feb 2022
Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis Thomas Fel Mélanie Ducoffe David Vigouroux Rémi Cadène Mikael Capelle C. Nicodeme Thomas Serre AAML 28 41 0 15 Feb 2022
Interpreting a Machine Learning Model for Detecting Gravitational Waves M. Safarzadeh Asad Khan Eliu A. Huerta Martin Wattenberg 40 2 0 15 Feb 2022
Towards Disentangling Information Paths with Coded ResNeXt Apostolos Avranas Marios Kountouris FAtt 32 1 0 10 Feb 2022
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data A. H. Nielsen Alexandros Iosifidis H. Karstoft AI4Cl AI4CE 27 6 0 10 Feb 2022
Prediction Sensitivity: Continual Audit of Counterfactual Fairness in Deployed Classifiers Krystal Maughan Ivoline C. Ngong Joseph P. Near 22 2 0 09 Feb 2022
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs Dipkamal Bhusal S. Panday 38 5 0 08 Feb 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 34 73 0 07 Feb 2022
Rethinking Explainability as a Dialogue: A Practitioner's Perspective Himabindu Lakkaraju Dylan Slack Yuxin Chen Chenhao Tan Sameer Singh LRM 21 64 0 03 Feb 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 194 186 0 03 Feb 2022
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors Ashish Ramayee Asokan Nidarshan Kumar Anirudh Venkata Ragam S. Sharath 37 18 0 02 Feb 2022
Framework for Evaluating Faithfulness of Local Explanations S. Dasgupta Nave Frost Michal Moshkovitz FAtt 124 61 0 01 Feb 2022
A Consistent and Efficient Evaluation Strategy for Attribution Methods Yao Rong Tobias Leemann V. Borisov Gjergji Kasneci Enkelejda Kasneci FAtt 38 92 0 01 Feb 2022
From Explanations to Segmentation: Using Explainable AI for Image Segmentation Clemens Seibold Johannes Kunzel Anna Hilsmann Peter Eisert SSeg 22 6 0 01 Feb 2022
Deep-Disaster: Unsupervised Disaster Detection and Localization Using Visual Data Soroor Shekarizadeh R. Rastgoo Saif M. Al-Kuwari Mohammad Sabokrou 33 2 0 31 Jan 2022
Metrics for saliency map evaluation of deep learning explanation methods T. Gomez Thomas Fréour Harold Mouchère XAI FAtt 69 41 0 31 Jan 2022
Rethinking Attention-Model Explainability through Faithfulness Violation Test Yebin Liu Haoliang Li Yangyang Guo Chen Kong Jing Li Shiqi Wang FAtt 121 43 0 28 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 41 15 0 27 Jan 2022
Attention cannot be an Explanation Arjun Reddy Akula Song-Chun Zhu FAtt XAI 20 6 0 26 Jan 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald Kirill Bykov Shinichi Nakajima Marina M.-C. Höhne 29 5 0 26 Jan 2022
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes Mazda Moayeri Phillip E. Pope Yogesh Balaji S. Feizi VLM 33 52 0 26 Jan 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
Brain Structural Saliency Over The Ages Daniel Taylor Jonathan Shock Deshendran Moodley J. Ipser M. Treder FAtt 16 1 0 12 Jan 2022
Effective Representation to Capture Collaboration Behaviors between Explainer and User Arjun Reddy Akula Song-Chun Zhu 32 4 0 10 Jan 2022
Topological Representations of Local Explanations Peter Xenopoulos G. Chan Harish Doraiswamy L. G. Nonato Brian Barr Claudio Silva FAtt 28 4 0 06 Jan 2022
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images Yibin Wang Abdur Rahman W. Duggar P. R. Roberts T. V. Thomas L. Bian Haifeng Wang 29 6 0 03 Jan 2022
Predicting Peak Stresses In Microstructured Materials Using Convolutional Encoder-Decoder Learning A. Shrivastava Jingxiao Liu K. Dayal Hae Young Noh 11 7 0 03 Jan 2022