SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features Hiba Najjar Marlon Nuske Andreas Dengel 18 4 0 21 Aug 2024
TextCAVs: Debugging vision models using text A. Nicolson Yarin Gal J. A. Noble CoGe 31 0 0 16 Aug 2024
Enhancing Model Interpretability with Local Attribution over Global Exploration Zhiyu Zhu Zhibo Jin Jiayu Zhang Huaming Chen FAtt 35 4 0 14 Aug 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 39 1 0 04 Aug 2024
Joint Universal Adversarial Perturbations with Interpretations Liang-bo Ning Zeyu Dai Wenqi Fan Jingran Su Chao Pan Luning Wang Qing Li AAML 37 2 0 03 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 34 0 0 02 Aug 2024
A deep learning-enabled smart garment for versatile sleep behaviour monitoring Chenyu Tang Wentian Yi Muzi Xu Yuxuan Jin Zibo Zhang Xuhang Chen Caizhi Liao P. Smielewski L. Occhipinti 16 1 0 01 Aug 2024
MaskInversion: Localized Embeddings via Optimization of Explainability Maps Walid Bousselham Sofian Chaybouti Christian Rupprecht Vittorio Ferrari Hilde Kuehne 74 0 0 29 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 45 3 0 27 Jul 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 38 10 0 27 Jul 2024
Algebraic Adversarial Attacks on Integrated Gradients Lachlan Simpson Federico Costanza Kyle Millar A. Cheng Cheng-Chew Lim Hong-Gunn Chew SILM AAML 69 2 0 23 Jul 2024
Mechanistically Interpreting a Transformer-based 2-SAT Solver: An Axiomatic Approach Nils Palumbo Ravi Mangal Zifan Wang Saranya Vijayakumar Corina S. Pasareanu Somesh Jha 41 1 0 18 Jul 2024
Auditing Local Explanations is Hard Robi Bhattacharjee U. V. Luxburg LRM MLAU FAtt 36 2 0 18 Jul 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 37 0 0 17 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 75 0 0 17 Jul 2024
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys George Adamopoulos Mehrab Hamidi Stephanie Milani Mohammad Reza Samsami Artem Zholus Sonia Joseph Blake A. Richards Irina Rish Özgür Simsek 42 2 0 16 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 34 3 0 16 Jul 2024
Understanding the Dependence of Perception Model Competency on Regions in an Image Sara Pohland Claire Tomlin 19 1 0 15 Jul 2024
Operationalizing the Blueprint for an AI Bill of Rights: Recommendations for Practitioners, Researchers, and Policy Makers Alex Oesterling Usha Bhalla Suresh Venkatasubramanian Himabindu Lakkaraju 46 1 0 11 Jul 2024
Noise-Free Explanation for Driving Action Prediction Hongbo Zhu Theodor Wulff R. S. Maharjan Jinpei Han Angelo Cangelosi AAML FAtt 35 0 0 08 Jul 2024
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel Louis Bethune Andrew Kyle Lampinen Thomas Serre Katherine Hermann FAtt CoGe 32 6 0 08 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based Classifier Bowen Wang Liangzhi Li Jiahao Zhang Yuta Nakashima Hajime Nagahara OCL 44 0 0 08 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Saeed Mian AAML 31 1 0 05 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 29 0 0 04 Jul 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 21 0 0 29 Jun 2024
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks Mauricio Gomes de Queiroz Paul Jiménez Raphael Cardoso Mateus Vidaletti da Costa Mohab Abdalla Ian O'Connor A. Bosio Fabio Pavanello 16 0 0 26 Jun 2024
DWARF: Disease-weighted network for attention map refinement Haozhe Luo Aurélie Pahud de Mortanges Oana Inel Abraham Bernstein Mauricio Reyes MedIm 31 3 0 24 Jun 2024
A Hopfieldian View-based Interpretation for Chain-of-Thought Reasoning Lijie Hu Liang Liu Shu Yang Xin Chen Hongru Xiao Mengdi Li Pan Zhou Muhammad Asif Ali Di Wang LRM 37 5 0 18 Jun 2024
MiSuRe is all you need to explain your image segmentation Syed Nouman Hasany Fabrice Mériaudeau Caroline Petitjean 28 2 0 18 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution Yue Zhuo Zhiqiang Ge 26 7 0 16 Jun 2024
Selecting Interpretability Techniques for Healthcare Machine Learning models Daniel Sierra-Botero Ana Molina-Taborda Mario S. Valdés-Tresanco Alejandro Hernández-Arango Leonardo Espinosa-Leal Alexander Karpenko O. Lopez-Acevedo 25 0 0 14 Jun 2024
Instance-level quantitative saliency in multiple sclerosis lesion segmentation F. Spagnolo N. Molchanova Roger Schaer Meritxell Bach Cuadra Mario Ocampo Pineda L. Melie-García C. Granziera Vincent Andrearczyk A. Depeursinge 23 1 0 13 Jun 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 46 2 0 11 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 59 9 0 11 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang Alina Jade Barnett Jon Donnelly Satvik Kishore Jerry Fang F. Schwartz Chaofan Chen Joseph Y. Lo Cynthia Rudin MedIm 32 1 0 10 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 32 0 0 08 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 28 2 0 07 Jun 2024
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations Benjamin Frész Lena Lörcher Marco F. Huber 25 1 0 07 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 32 0 0 07 Jun 2024
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network Abubakar Isah I. Aliyu Jaechan Shim Hoyong Ryu Jinsul Kim 22 0 0 06 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines Drew Linsley Peisen Zhou A. Ashok Akash Nagaraj Gaurav Gaonkar Francis E Lewis Zygmunt Pizlo Thomas Serre 48 6 0 06 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 27 0 0 04 Jun 2024
Explainable Deep Learning Analysis for Raga Identification in Indian Art Music Parampreet Singh Vipul Arora 21 2 0 04 Jun 2024
nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 24 0 0 03 Jun 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP S. Balasubramanian Samyadeep Basu S. Feizi CLIP 28 3 0 03 Jun 2024
Expected Grad-CAM: Towards gradient faithfulness Vincenzo Buono Peyman Sheikholharam Mashhadi M. Rahat Prayag Tiwari Stefan Byttner FAtt 31 1 0 03 Jun 2024
What makes unlearning hard and what to do about it Kairan Zhao M. Kurmanji George-Octavian Barbulescu Eleni Triantafillou Peter Triantafillou MU 60 16 0 03 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability M. Prabhushankar Ghassan AlRegib FAtt UQCV 31 2 0 01 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 40 0 0 31 May 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 44 5 0 30 May 2024