SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
CoSy: Evaluating Textual Explanations of Neurons Laura Kopf P. Bommer Anna Hedström Sebastian Lapuschkin Marina M.-C. Höhne Kirill Bykov 44 7 0 30 May 2024
Locally Testing Model Detections for Semantic Global Concepts Franz Motzkus Georgii Mikriukov Christian Hellert Ute Schmid 35 2 0 27 May 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 32 4 0 27 May 2024
Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain Agathe Balayn Lorenzo Corti Fanny Rancourt Fabio Casati U. Gadiraju 29 5 0 25 May 2024
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models Zhenzhong Wang Zehui Lin Wanyu Lin Ming Yang Minggang Zeng Kay Chen Tan 23 3 0 25 May 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 19 0 0 23 May 2024
Exploring the Relationship Between Feature Attribution Methods and Model Performance Priscylla Silva Claudio T. Silva L. G. Nonato FAtt 25 1 0 22 May 2024
Part-based Quantitative Analysis for Heatmaps Osman Tursun Sinan Kalkan Simon Denman S. Sridharan Clinton Fookes 35 0 0 22 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors Shuai Liu Boyang Li Zhiyu Fang Mingyue Cui Kai Huang 40 0 0 21 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing Yunlong Zhao Xiaoheng Deng Yijing Liu Xin-jun Pei Jiazhi Xia Wei Chen AAML 37 3 0 18 May 2024
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network Min Hun Lee AI4TS ViT FAtt 33 3 0 18 May 2024
Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models Rudolf Herdt Louisa Kinzel Johann Georg Maass Marvin Walther Henning Fröhlich Tim Schubert Peter Maass C. Schaaf 24 0 0 17 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution Eslam Zaher Maciej Trzaskowski Quan Nguyen Fred Roosta AAML 24 4 0 16 May 2024
Error-margin Analysis for Hidden Neuron Activation Labels Abhilekha Dalal R. Rayan Pascal Hitzler FAtt 31 1 0 14 May 2024
$Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions$ Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed Attributions Fan Wang Adams Wai-Kin Kong 43 1 0 10 May 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 39 4 0 08 May 2024
A Fresh Look at Sanity Checks for Saliency Maps Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne FAtt LRM 37 5 0 03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods Peiyu Yang Naveed Akhtar Jiantong Jiang Ajmal Saeed Mian XAI 32 2 0 02 May 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 39 1 0 29 Apr 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 18 8 0 24 Apr 2024
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency Jun Huang Yan Liu FAtt 52 0 0 23 Apr 2024
A Learning Paradigm for Interpretable Gradients Felipe Figueroa Hanwei Zhang R. Sicre Yannis Avrithis Stéphane Ayache FAtt 18 0 0 23 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition Felipe Torres Hanwei Zhang R. Sicre Stéphane Ayache Yannis Avrithis 50 0 0 23 Apr 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 40 4 0 23 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 40 112 0 22 Apr 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 27 4 0 21 Apr 2024
Uncovering Safety Risks of Large Language Models through Concept Activation Vector Zhihao Xu Ruixuan Huang Changyu Chen Shuai Wang Xiting Wang LLMSV 32 10 0 18 Apr 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 39 5 0 17 Apr 2024
CNN-based explanation ensembling for dataset, representation and explanations evaluation Weronika Hryniewska-Guzik Luca Longo P. Biecek FAtt 45 0 0 16 Apr 2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network Hanjing Wang Qiang Ji UQCV 39 2 0 15 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 30 3 0 13 Apr 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 35 6 0 11 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 40 2 0 06 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity Walid Bousselham Angie Boggust Sofian Chaybouti Hendrik Strobelt Hilde Kuehne 96 10 0 04 Apr 2024
Smooth Deep Saliency Rudolf Herdt Maximilian Schmidt Daniel Otero Baguer Peter Maass MedIm FAtt 18 0 0 02 Apr 2024
Using Interpretation Methods for Model Enhancement Zhuo Chen Chengyue Jiang Kewei Tu 19 2 0 02 Apr 2024
On the Faithfulness of Vision Transformer Explanations Junyi Wu Weitai Kang Hao Tang Yuan Hong Yan Yan 24 6 0 01 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 65 8 0 31 Mar 2024
A Peg-in-hole Task Strategy for Holes in Concrete André Yuji Yasutomi Hiroki Mori Tetsuya Ogata 18 15 0 29 Mar 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation Zeliang Zhang Mingqian Feng Jinyang Jiang Rongyi Zhu Yijie Peng Chenliang Xu FAtt 32 2 0 22 Mar 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer Junyi Wu Bin Duan Weitai Kang Hao Tang Yan Yan 36 6 0 21 Mar 2024
Listenable Maps for Audio Classifiers Francesco Paissan Mirco Ravanelli Cem Subakan 32 7 0 19 Mar 2024
Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making Hanxi Wan Pei Li A. Kusari AI4CE 32 0 0 18 Mar 2024
SelfIE: Self-Interpretation of Large Language Model Embeddings Haozhe Chen Carl Vondrick Chengzhi Mao 19 18 0 16 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 21 18 0 15 Mar 2024
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 43 2 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 28 1 0 08 Mar 2024