SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 39 0 0 19 Aug 2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box Yingcheng Cai Gerhard Wunder FAtt 31 0 0 18 Aug 2023
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review Yun Xin Teoh Alice Othmani Siew Li Goh Juliana Usman K. Lai 34 2 0 18 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar Bernd Bischl Mina Rezaei FAtt XAI 47 0 0 17 Aug 2023
A Fusion of Variational Distribution Priors and Saliency Map Replay for Continual 3D Reconstruction Sanchar Palit S. Biswas 39 0 0 17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 19 3 0 16 Aug 2023
Learning to Identify Critical States for Reinforcement Learning from Videos Haozhe Liu Mingchen Zhuge Bing Li Yu‐Han Wang Francesco Faccio Guohao Li Jürgen Schmidhuber OffRL 28 6 0 15 Aug 2023
BSED: Baseline Shapley-Based Explainable Detector Michihiro Kuroki T. Yamasaki FAtt AAML 25 4 0 14 Aug 2023
Decoding Layer Saliency in Language Transformers Elizabeth M. Hou Greg Castañón MILM 6 0 0 09 Aug 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 16 2 0 09 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 27 4 0 06 Aug 2023
Explaining Relation Classification Models with Semantic Extents Lars Klöser André Büsgen Philipp Kohl Bodo Kraft Albert Zündorf 19 0 0 04 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 37 21 0 03 Aug 2023
Evaluating Link Prediction Explanations for Graph Neural Networks Claudio Borile Alan Perotti Andre' Panisson FAtt 46 2 0 03 Aug 2023
Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance Md. Tanvir Rouf Shawon G. M. S. Shibli F. Ahmed Sajib Kumar Saha Joy 10 9 0 01 Aug 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability Usha Bhalla Suraj Srinivas Himabindu Lakkaraju FAtt CML 29 6 0 27 Jul 2023
Explainable Techniques for Analyzing Flow Cytometry Cell Transformers Florian Kowarsch Lisa Weijler Florian Kleber Matthias Wödlinger Michael Reiter Margarita Maurer-Granofszky Michael N. Dworzak MedIm 33 0 0 27 Jul 2023
Characterizing Data Point Vulnerability via Average-Case Robustness Tessa Han Suraj Srinivas Himabindu Lakkaraju AAML OOD 35 0 0 26 Jul 2023
MAEA: Multimodal Attribution for Embodied AI Vidhi Jain Jayant Sravan Tamarapalli Sahiti Yerramilli Yonatan Bisk 39 0 0 25 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 11 15 0 23 Jul 2023
eXplainable Artificial Intelligence (XAI) in aging clock models Alena I. Kalyakulina I. Yusipov Alexey Moskalev Claudio Franceschi Mikhail Ivanchenko 29 19 0 21 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification Xinke Li Junchi Lu Henghui Ding Changsheng Sun Qiufeng Wang Chee Yeow Meng 3DPC 45 4 0 20 Jul 2023
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction Amirhossein Aminimehr Pouya Khani Amir Molaei Amirmohammad Kazemeini Min Zhang FAtt 24 5 0 19 Jul 2023
Saliency strikes back: How filtering out high frequencies improves white-box explanations Sabine Muzellec Thomas Fel Victor Boutin Léo Andéol R. V. Rullen Thomas Serre FAtt 30 0 0 18 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 34 2 0 17 Jul 2023
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance Omer Reingold J. Shen Aditi Talati FAtt LRM 24 3 0 14 Jul 2023
Is Task-Agnostic Explainable AI a Myth? Alicja Chaszczewicz 28 2 0 13 Jul 2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad George K. Thiruvathukal Hyoungshick Kim Tamer Abuhmed AAML 27 2 0 12 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 44 5 0 12 Jul 2023
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps Fuxiao Liu Paiheng Xu Zongxi Li Yue Feng Hyemi Song 21 31 0 11 Jul 2023
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification Haixing Dai Lu Zhang Lin Zhao Zihao Wu Zheng Liu ... Yanjun Lyu Changying Li Ninghao Liu Tianming Liu Dajiang Zhu 51 6 0 10 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 30 0 0 07 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 31 13 0 07 Jul 2023
Generalizing Backpropagation for Gradient-Based Interpretability Kevin Du Lucas Torroba Hennigen Niklas Stoehr Alex Warstadt Ryan Cotterell MILM FAtt 32 7 0 06 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning Sebastian Müller Vanessa Toborek Katharina Beckh Matthias Jakobs Christian Bauckhage Pascal Welke FAtt 27 16 0 27 Jun 2023
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation Jinghao Zhang Qiang Liu Shu Wu Liang Wang 21 8 0 25 Jun 2023
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method Daniel Lundstrom Meisam Razaviyayn FAtt 14 2 0 23 Jun 2023
Evaluating the overall sensitivity of saliency-based explanation methods Harshinee Sriram Cristina Conati AAML XAI FAtt 24 0 0 21 Jun 2023
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted? A. Brankovic David Cook Jessica Rahman Wenjie Huang Sankalp Khanna 31 1 0 21 Jun 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction C. Mauri Stefano Cerri Oula Puonti Mark Muhlau Koen van Leemput MedIm AI4CE 21 0 0 19 Jun 2023
Interpreting Deep Neural Networks with the Package innsight Niklas Koenen Marvin N. Wright FAtt 41 6 0 19 Jun 2023
Multi-omics Prediction from High-content Cellular Imaging with Deep Learning Rahil Mehrizi Arash Mehrjou M. Alegro Yi Zhao Benedetta Carbone ... S. Sanford Hakan Keles M. Bantscheff Cuong Nguyen Patrick Schwab 31 4 0 15 Jun 2023
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 33 0 0 15 Jun 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 27 0 0 12 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 21 19 0 11 Jun 2023
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation Thomas Fel Victor Boutin Mazda Moayeri Rémi Cadène Louis Bethune Léo Andéol Mathieu Chalvidal Thomas Serre FAtt 16 49 0 11 Jun 2023
On Minimizing the Impact of Dataset Shifts on Actionable Explanations Anna P. Meyer Dan Ley Suraj Srinivas Himabindu Lakkaraju FAtt 34 6 0 11 Jun 2023
Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values Anchen Sun Elizabeth J. Franzmann Zhibin Chen Xiaodong Cai 16 4 0 09 Jun 2023