SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution Yuyou Gan Yuhao Mao Xuhong Zhang S. Ji Yuwen Pu Meng Han Jianwei Yin Ting Wang FAtt AAML 12 15 0 05 Sep 2022
Generating detailed saliency maps using model-agnostic methods Maciej Sakowicz FAtt 23 0 0 04 Sep 2022
Deep Stable Representation Learning on Electronic Health Records Yingtao Luo Zhaocheng Liu Qiang Liu OOD BDL CML 41 3 0 03 Sep 2022
Exploring Gradient-based Multi-directional Controls in GANs Zikun Chen R. Jiang Brendan Duke Han Zhao P. Aarabi 23 10 0 01 Sep 2022
Concept Gradient: Concept-based Interpretation Without Linear Assumption Andrew Bai Chih-Kuan Yeh Pradeep Ravikumar Neil Y. C. Lin Cho-Jui Hsieh 30 15 0 31 Aug 2022
A Deep Perceptual Measure for Lens and Camera Calibration Yannick Hold-Geoffroy Dominique Piché-Meunier Kalyan Sunkavalli Jean-Charles Bazin Franccois Rameau Jean-François Lalonde HAI 19 10 0 25 Aug 2022
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 35 52 0 22 Aug 2022
Inferring Sensitive Attributes from Model Explanations Vasisht Duddu A. Boutet MIACV SILM 24 16 0 21 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 43 12 0 19 Aug 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA Rachneet Sachdeva Haritz Puerto Tim Baumgärtner Sewin Tariverdian Hao Zhang Kexin Wang H. Saad Leonardo F. R. Ribeiro Iryna Gurevych AAML 23 2 0 19 Aug 2022
Transcending XAI Algorithm Boundaries through End-User-Inspired Design Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Xiaoxiao Li Ghassan Hamarneh 28 3 0 18 Aug 2022
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch Yuya Maruyama Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi K. Sugiura 45 1 0 18 Aug 2022
The Weighting Game: Evaluating Quality of Explainability Methods Lassi Raatikainen Esa Rahtu FAtt XAI 34 4 0 12 Aug 2022
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights Tianshu Feng Zhipu Zhou Tarun Joshi V. Nair FAtt 25 4 0 12 Aug 2022
E Pluribus Unum Interpretable Convolutional Neural Networks George Dimas Eirini Cholopoulou D. Iakovidis 28 3 0 10 Aug 2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value Quan Zheng Ziwei Wang Jie Zhou Jiwen Lu FAtt 33 31 0 07 Aug 2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation Juanwu Lu Wei Zhan Masayoshi Tomizuka Yeping Hu 27 6 0 06 Aug 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models Ya-Ming Shen Lijie Wang Ying-Cong Chen Xinyan Xiao Jing Liu Hua Wu 42 4 0 28 Jul 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 24 2 0 26 Jul 2022
Lazy Estimation of Variable Importance for Large Neural Networks Yue Gao Abby Stevens Rebecca Willett Garvesh Raskutti 43 4 0 19 Jul 2022
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations S. Munakata Caterina Urban Haruki Yokoyama Koji Yamamoto Kazuki Munakata AAML 24 4 0 13 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 12 3 0 09 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations Dylan Slack Satyapriya Krishna Himabindu Lakkaraju Sameer Singh 37 74 0 08 Jul 2022
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications Mirac Suzgun Luke Melas-Kyriazi Suproteem K. Sarkar S. Kominers Stuart M. Shieber 48 27 0 08 Jul 2022
Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks Chunyan Zeng Kang Yan Zhifeng Wang Yan Yu Shiyan Xia Nan Zhao FAtt 19 39 0 08 Jul 2022
Calibrate to Interpret Gregory Scafarto N. Posocco Antoine Bonnefoy FaML 16 3 0 07 Jul 2022
An Additive Instance-Wise Approach to Multi-class Model Interpretation Vy Vo Van Nguyen Trung Le Quan Hung Tran Gholamreza Haffari S. Çamtepe Dinh Q. Phung FAtt 48 5 0 07 Jul 2022
SESS: Saliency Enhancing with Scaling and Sliding Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes 11 5 0 05 Jul 2022
Fidelity of Ensemble Aggregation for Saliency Map Explanations using Bayesian Optimization Techniques Yannik Mahlau Christian Nolde FAtt 40 0 0 04 Jul 2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models Xuhong Li Haoyi Xiong Yi Liu Dingfu Zhou Zeyu Chen Yaqing Wang Dejing Dou 29 7 0 04 Jul 2022
Interpretable by Design: Learning Predictors by Composing Interpretable Queries Aditya Chattopadhyay Stewart Slocum B. Haeffele René Vidal D. Geman 28 21 0 03 Jul 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 50 28 0 02 Jul 2022
On the amplification of security and privacy risks by post-hoc explanations in machine learning models Pengrui Quan Supriyo Chakraborty J. Jeyakumar Mani B. Srivastava MIACV AAML 8 5 0 28 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 49 15 0 28 Jun 2022
Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 24 8 0 28 Jun 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 57 10 0 28 Jun 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 24 7 0 27 Jun 2022
FlowX: Towards Explainable Graph Neural Networks via Message Flows Shurui Gui Hao Yuan Jie Wang Qicheng Lao Kang Li Shuiwang Ji 43 12 0 26 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 48 3 0 24 Jun 2022
Robustness of Explanation Methods for NLP Models Shriya Atmakuri Tejas Chheda Dinesh Kandula Nishant Yadav Taesung Lee Hessel Tuinhof FAtt AAML 32 4 0 24 Jun 2022
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models Liu Zhendong Wenyu Jiang Yan Zhang Chongjun Wang CML 16 0 0 22 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 31 141 0 22 Jun 2022
Visualizing and Understanding Contrastive Learning Fawaz Sammani Boris Joukovsky Nikos Deligiannis SSL FAtt 20 9 0 20 Jun 2022
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts Alex Bauerle Daniel Jonsson Timo Ropinski FAtt 45 12 0 20 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 36 8 0 17 Jun 2022
What do navigation agents learn about their environment? Kshitij Dwivedi Gemma Roig Aniruddha Kembhavi Roozbeh Mottaghi 47 11 0 17 Jun 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 29 20 0 16 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 33 12 0 15 Jun 2022
Self-Supervision on Images and Text Reduces Reliance on Visual Shortcut Features Anil Palepu Andrew L. Beam OOD VLM 29 5 0 14 Jun 2022
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective M. Serrurier Franck Mamalet Thomas Fel Louis Bethune Thibaut Boissin AAML FAtt 34 4 0 14 Jun 2022