SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Consistent Explanations in the Face of Model Indeterminacy via Ensembling Dan Ley Leonard Tang Matthew Nazari Hongjin Lin Suraj Srinivas Himabindu Lakkaraju 32 2 0 09 Jun 2023
Robust Explainer Recommendation for Time Series Classification Thu Trang Nguyen Thach le Nguyen Georgiana Ifrim AI4TS 37 5 0 08 Jun 2023
Adversarial attacks and defenses in explainable artificial intelligence: A survey Hubert Baniecki P. Biecek AAML 47 63 0 06 Jun 2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models Xiaoyue Wang Lijie Wang Xin Liu Suhang Wu Jinsong Su Huasen Wu 39 3 0 02 Jun 2023
Discriminative Deep Feature Visualization for Explainable Face Recognition Zewei Xu Yuhang Lu Touradj Ebrahimi FAtt CVBM 23 7 0 01 Jun 2023
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision Chase Walker Sumit Kumar Jha Kenny Chen Rickard Ewetz FAtt 32 9 0 31 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 30 12 0 30 May 2023
Extending Explainable Boosting Machines to Scientific Image Data Daniel Schug Sai Yerramreddy R. Caruana Craig S. Greenberg Justyna P. Zwolak 19 2 0 25 May 2023
An Experimental Investigation into the Evaluation of Explainability Methods Sédrick Stassin A. Englebert Géraldin Nanfack Julien Albert Nassim Versbraegen Gilles Peiffer Miriam Doh Nicolas Riche Benoit Frénay Christophe De Vleeschouwer XAI ELM 21 5 0 25 May 2023
Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace Jinyung Hong Keun Hee Park Theodore P. Pavlic 29 5 0 25 May 2023
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data Hanqi Su Binyang Song Faez Ahmed 33 6 0 24 May 2023
Towards credible visual model interpretation with path attribution Naveed Akhtar Muhammad A. A. K. Jalwana FAtt 22 5 0 23 May 2023
Model Debiasing via Gradient-based Explanation on Representation Jindi Zhang Luning Wang Dan Su Yongxiang Huang Caleb Chen Cao Lei Chen FaML CML 19 2 0 20 May 2023
Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna Jiaqi Ma Dylan Slack Asma Ghandeharioun Sameer Singh Himabindu Lakkaraju ReLM LRM 30 54 0 19 May 2023
$Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via Input Gradient Distillation$ Releasing Inequality Phenomena in $L_{\infty}$ -Adversarial Training via Input Gradient Distillation Junxi Chen Junhao Dong Xiaohua Xie AAML 22 0 0 16 May 2023
The Weighted Möbius Score: A Unified Framework for Feature Attribution Yifan Jiang Shane Steinert-Threlkeld FAtt 35 1 0 16 May 2023
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Gaël Richard Florence dÁlché-Buc 33 6 0 11 May 2023
A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information George H. Chen 16 1 0 11 May 2023
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks Fanny Jourdan Agustin Picard Thomas Fel Laurent Risser Jean-Michel Loubes Nicholas M. Asher 23 6 0 11 May 2023
When a CBR in Hand is Better than Twins in the Bush Mobyen Uddin Ahmed Shaibal Barua Shahina Begum Mir Riyanul Islam Rosina O. Weber 30 1 0 09 May 2023
Hardware Acceleration of Explainable Artificial Intelligence Zhixin Pan Prabhat Mishra 26 0 0 04 May 2023
Distributing Synergy Functions: Unifying Game-Theoretic Interaction Methods for Machine-Learning Explainability Daniel Lundstrom Meisam Razaviyayn FAtt 14 1 0 04 May 2023
Evaluating Post-hoc Interpretability with Intrinsic Interpretability J. P. Amorim P. Abreu João A. M. Santos Henning Muller FAtt 33 1 0 04 May 2023
MaskSearch: Querying Image Masks at Scale Dong He Jieyu Zhang Maureen Daum Alexander Ratner Magdalena Balazinska VLM 42 2 0 03 May 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability Georgii Mikriukov Gesina Schwalbe Christian Hellert Korinna Bade FAtt 33 8 0 28 Apr 2023
$On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective$ On Pitfalls of $\textit{RemOve-And-Retrain}$ : Data Processing Inequality Perspective J. Song Keumgang Cha Junghoon Seo 40 2 0 26 Apr 2023
Concept-Monitor: Understanding DNN training through individual neurons Mohammad Ali Khan Tuomas P. Oikarinen Tsui-Wei Weng 21 2 0 26 Apr 2023
A Lightweight Constrained Generation Alternative for Query-focused Summarization Zhichao Xu Daniel Cohen 26 10 0 23 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 25 2 0 18 Apr 2023
ODSmoothGrad: Generating Saliency Maps for Object Detectors C. Gwon Steven C. Howell FAtt 6 3 0 15 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 24 4 0 13 Apr 2023
Towards Evaluating Explanations of Vision Transformers for Medical Imaging Piotr Komorowski Hubert Baniecki P. Biecek MedIm 38 27 0 12 Apr 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning Hanjing Wang D. Joshi Shiqiang Wang Q. Ji UQCV BDL 16 6 0 10 Apr 2023
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle Recognition Wei-Jang Li Wei Yang Wenpeng Zhang Tianpeng Liu Yongxiang Liu Yong-Jin Liu 33 18 0 07 Apr 2023
How good Neural Networks interpretation methods really are? A quantitative benchmark Antoine Passemiers Pietro Folco D. Raimondi G. Birolo Yves Moreau P. Fariselli FAtt 24 2 0 05 Apr 2023
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models Osman Tursun Simon Denman Sridha Sridharan Clinton Fookes ViT VLM 26 6 0 05 Apr 2023
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers Naveed Akhtar M. Jalwana FAtt AAML 21 7 0 31 Mar 2023
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging Alessandro Fontanella Antreas Antoniou Wenwen Li Joanna M. Wardlaw Grant Mair Emanuele Trucco Amos Storkey MedIm 32 11 0 27 Mar 2023
Learning with Explanation Constraints Rattana Pukdee Dylan Sam J. Zico Kolter Maria-Florina Balcan Pradeep Ravikumar FAtt 32 6 0 25 Mar 2023
Explainable Image Quality Assessment for Medical Imaging Caner Ozer Arda Güler A. Cansever Ilkay Oksuz 31 2 0 25 Mar 2023
IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients Ruo Yang Binghui Wang M. Bilgic 37 19 0 24 Mar 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 32 0 0 24 Mar 2023
Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbaavaram Gowtham Reddy Saketh Bachu Harsh Nilesh Pathak Ben Godfrey V. Balasubramanian V. Varshaneya Satya Narayanan Kar CML 31 0 0 24 Mar 2023
Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Avi Schwarzschild Max Cembalest K. Rao Keegan E. Hines John P Dickerson FAtt 20 5 0 23 Mar 2023
Watch Out for the Confusing Faces: Detecting Face Swapping with the Probability Distribution of Face Identification Models Yuxuan Duan Xuhong Zhang Chuer Yu Zonghui Wang S. Ji Wenzhi Chen AAML CVBM 19 0 0 23 Mar 2023
Revisiting the Fragility of Influence Functions Jacob R. Epifano Ravichandran Ramachandran A. Masino Ghulam Rasool TDI 27 14 0 22 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 31 2 0 21 Mar 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis Alexandros Stergiou Nikos Deligiannis 34 0 0 17 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 2023
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems Erik Ostrowski B. Prabakaran Muhammad Shafique 19 0 0 14 Mar 2023