SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
Explainable Face Verification via Feature-Guided Gradient Backpropagation Yuhang Lu Zewei Xu Touradj Ebrahimi FAtt CVBM AAML 32 5 0 07 Mar 2024
Verified Training for Counterfactual Explanation Robustness under Data Shift Anna P. Meyer Yuhao Zhang Aws Albarghouthi Loris Dántoni AAML OOD 58 2 0 06 Mar 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models Lachlan Simpson Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew BDL FAtt 34 2 0 29 Feb 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 43 0 0 28 Feb 2024
The METRIC-framework for assessing data quality for trustworthy AI in medicine: a systematic review Daniel Schwabe Katinka Becker Martin Seyferth Andreas Klass Tobias Schäffter 34 20 0 21 Feb 2024
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning Jiaqi Ma Vivian Lai Yiming Zhang Chacha Chen Paul Hamilton Davor Ljubenkov Himabindu Lakkaraju Chenhao Tan ELM 21 3 0 20 Feb 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 48 0 0 20 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 50 3 0 18 Feb 2024
HistoSegCap: Capsules for Weakly-Supervised Semantic Segmentation of Histological Tissue Type in Whole Slide Images Mobina Mansoori Sajjad Shahabodini J. Abouei Arash Mohammadi Konstantinos N. Plataniotis 26 0 0 16 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 31 3 0 15 Feb 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers Reduan Achtibat Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Aakriti Jain Thomas Wiegand Sebastian Lapuschkin Wojciech Samek 36 25 0 08 Feb 2024
Towards Generating Informative Textual Description for Neurons in Language Models Shrayani Mondal Rishabh Garodia Arbaaz Qureshi Taesung Lee Youngja Park MILM 29 0 0 30 Jan 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert Chanwoo Kim Su-In Lee James Zou Tatsunori Hashimoto TDI 35 8 0 29 Jan 2024
Understanding Disparities in Post Hoc Machine Learning Explanation Vishwali Mhasawade Salman Rahman Zoe Haskell-Craig R. Chunara 32 4 0 25 Jan 2024
Transforming gradient-based techniques into interpretable methods Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman 29 4 0 25 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition Sangyu Han Yearim Kim Nojun Kwak AAML 29 1 0 25 Jan 2024
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation Navin Ranjan Andreas E. Savakis MQ 26 6 0 20 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 16 1 0 19 Jan 2024
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security Marsalis T. Gibson David Babazadeh Claire Tomlin S. Shankar Sastry AAML 37 0 0 18 Jan 2024
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities Logan Cummins Alexander Sommers Somayeh Bakhtiari Ramezani Sudip Mittal Joseph E. Jabour Maria Seale Shahram Rahimi 40 21 0 15 Jan 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne LRM 35 3 0 12 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 40 8 0 09 Jan 2024
LightHouse: A Survey of AGI Hallucination Feng Wang LRM HILM VLM 32 3 0 08 Jan 2024
Manifold-based Shapley for SAR Recognization Network Explanation Xuran Hu Mingzhe Zhu Yuanjing Liu Zhenpeng Feng Ljubiša Stanković FAtt GAN 20 3 0 06 Jan 2024
DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling Wenyuan Li Zili Liu Keyan Chen Hao Chen Shunlin Liang Zhengxia Zou Z. Shi AI4CE 27 10 0 04 Jan 2024
Do Concept Bottleneck Models Obey Locality? Naveen Raman M. Zarlenga Juyeon Heo M. Jamnik 36 8 0 02 Jan 2024
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training Dongfang Li Baotian Hu Qingcai Chen Shan He 34 4 0 29 Dec 2023
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 26 5 0 22 Dec 2023
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton Wei-Yao Wang Wenjie Peng Wei Wang Philip S. Yu 38 0 0 18 Dec 2023
An Interpretable Deep Learning Approach for Skin Cancer Categorization Faysal Mahmud Md. Mahin Mahfiz Md. Zobayer Ibna Kabir Yusha Abdullah 27 2 0 17 Dec 2023
Rethinking Robustness of Model Attributions Sandesh Kamath Sankalp Mittal Amit Deshpande Vineeth N. Balasubramanian 30 2 0 16 Dec 2023
Evaluating the Utility of Model Explanations for Model Development Shawn Im Jacob Andreas Yilun Zhou XAI FAtt ELM 27 1 0 10 Dec 2023
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts Tessa Han Yasha Ektefaie Maha Farhat Marinka Zitnik Himabindu Lakkaraju FAtt 16 2 0 09 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Class-Discriminative Attention Maps for Vision Transformers L. Brocki Jakub Binda N. C. Chung MedIm 35 3 0 04 Dec 2023
Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences Eleftheria Briakou Navita Goyal Marine Carpuat 27 1 0 04 Dec 2023
Elucidating Discrepancy in Explanations of Predictive Models Developed using EMR A. Brankovic Wenjie Huang David Cook Sankalp Khanna K. Bialkowski 6 2 0 28 Nov 2023
GLIME: General, Stable and Local LIME Explanation Zeren Tan Yang Tian Jian Li FAtt LRM 13 19 0 27 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 33 6 0 26 Nov 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 32 4 0 25 Nov 2023
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training Karina Yang Alexis Bennett Dominique Duncan OOD 16 1 0 23 Nov 2023
Bayesian Neural Networks: A Min-Max Game Framework Junping Hong E. Kuruoglu 33 0 0 18 Nov 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 22 0 0 14 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 26 0 0 10 Nov 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. Bayan Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 34 18 0 10 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 33 2 0 09 Nov 2023
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata 37 2 0 08 Nov 2023
Be Careful When Evaluating Explanations Regarding Ground Truth Hubert Baniecki Maciej Chrabaszcz Andreas Holzinger Bastian Pfeifer Anna Saranti P. Biecek FAtt AAML 46 3 0 08 Nov 2023
Quantifying Uncertainty in Natural Language Explanations of Large Language Models Sree Harsha Tanneru Chirag Agarwal Himabindu Lakkaraju LRM 27 14 0 06 Nov 2023