SmoothGrad: removing noise by adding noise

12 June 2017

Papers citing "SmoothGrad: removing noise by adding noise"

50 / 1,161 papers shown

Title
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 70 0 0 08 Dec 2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task Alireza Maleki Mahsa Lavaei Mohsen Bagheritabar Salar Beigzad Zahra Abadi MQ 67 0 0 05 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan S. Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 101 15 0 03 Dec 2024
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability Wen-Dong Jiang Chih-Yung Chang Show-Jane Yen Diptendu Sinha Roy FAtt HAI 67 1 0 02 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels Toshinori Yamauchi Hiroshi Kera K. Kawamoto ObjD FAtt 66 1 0 01 Dec 2024
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis Martin Atzmueller Tim Bohne Patricia Windler 85 0 0 28 Nov 2024
Explainable AI Approach using Near Misses Analysis Eran Kaufman Avivit levy 60 0 0 25 Nov 2024
NormXLogit: The Head-on-Top Never Lies Sina Abbasi Mohammad Reza Modarres Mohammad Taher Pilehvar 64 0 0 25 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech Eleonora Mancini Francesco Paissan Paolo Torroni Mirco Ravanelli Cem Subakan 46 0 0 12 Nov 2024
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection Fabien Poirier AI4TS 21 0 0 07 Nov 2024
Pruning Literals for Highly Efficient Explainability at Word Level Rohan Kumar Yadav Bimal Bhattarai Abhik Jana Lei Jiao Seid Muhie Yimam 27 0 0 07 Nov 2024
Local vs distributed representations: What is the right basis for interpretability? Julien Colin L. Goetschalckx Thomas Fel Victor Boutin Jay Gopal Thomas Serre Nuria Oliver HAI 34 2 0 06 Nov 2024
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers Stephen McAleese Mark Keane 31 0 0 04 Nov 2024
Learning local discrete features in explainable-by-design convolutional neural networks Pantelis I. Kaplanoglou Konstantinos Diamantaras FAtt 49 1 0 31 Oct 2024
Directly Optimizing Explanations for Desired Properties Hiwot Belay Tadesse Alihan Hüyük Weiwei Pan Finale Doshi-Velez FAtt 43 0 0 31 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 34 1 0 29 Oct 2024
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers Shaobo Wang Hongxuan Tang Mingyang Wang H. Zhang Xuyang Liu Weiya Li Xuming Hu Linfeng Zhang 17 0 0 29 Oct 2024
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 21 1 0 26 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency" Luan Fletcher Robert van der Klis Martin Sedláček Stefan Vasilev Christos Athanasiadis 27 1 0 17 Oct 2024
CohEx: A Generalized Framework for Cohort Explanation Fanyu Meng Xin Liu Z. Kong Xin Chen 21 1 0 17 Oct 2024
Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier M. S. Rahman M. Chowdhury Hasib Ryan Rahman Mosabber Uddin Ahmed M. A. Kabir Sanjiban Sekhar Roy Rusab Sarmun 23 0 0 16 Oct 2024
Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection Weijie Zhou Xiaoqing Luo Zhancheng Zhang Jiachen He Xiaojun Wu 26 1 0 14 Oct 2024
XAI-based Feature Selection for Improved Network Intrusion Detection Systems Osvaldo Arreche Tanish Guntur Mustafa Abdallah AAML 16 0 0 14 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 28 2 0 11 Oct 2024
Rethinking the Principle of Gradient Smooth Methods in Model Explanation Linjiang Zhou Chao Ma Zepeng Wang Xiaochuan Shi FAtt 24 0 0 10 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 42 0 0 10 Oct 2024
Harnessing the Power of Noise: A Survey of Techniques and Applications Reyhaneh Abdolazimi Shengmin Jin Pramod K. Varshney Reza Zafarani 23 0 0 08 Oct 2024
Riemann Sum Optimization for Accurate Integrated Gradients Computation Swadesh Swain Shree Singhi 23 0 0 05 Oct 2024
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View Lijie Hu Liang Liu Shu Yang Xin Chen Zhen Tan Muhammad Asif Ali Mengdi Li Di Wang LRM 41 1 0 04 Oct 2024
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng Farhad Shirani Zhuomin Chen Chaohao Lin Wei Cheng Wenbo Guo Dongsheng Luo AAML 28 0 0 03 Oct 2024
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust Asher Hancock Allen Z. Ren Anirudha Majumdar VLM 28 2 0 02 Oct 2024
Explainable Earth Surface Forecasting under Extreme Events Oscar J. Pellicer-Valero Miguel-Ángel Fernández-Torres Chaonan Ji Miguel D. Mahecha Gustau Camps-Valls 21 0 0 02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 34 0 0 02 Oct 2024
One Wave to Explain Them All: A Unifying Perspective on Post-hoc Explainability Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 25 0 0 02 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 37 0 0 30 Sep 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach David Bertoin Eduardo Hugo Sanchez Mehdi Zouitine Emmanuel Rachelson 34 0 0 25 Sep 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 374 2 0 25 Sep 2024
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models Romain Xu-Darme Aymeric Varasse Alban Grastien Julien Girard Zakaria Chihani 30 0 0 25 Sep 2024
Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach Ruo Yang Binghui Wang M. Bilgic FAtt 16 0 0 24 Sep 2024
Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions Tim Buchner Niklas Penzel Orlando Guntinas-Lichius Joachim Denzler CVBM 23 2 0 24 Sep 2024
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection Lam Pham Phat Lam Dat Tran Hieu Tang Tin Nguyen Alexander Schindler Canh Vu Alexander Polonsky Canh Vu 51 3 0 23 Sep 2024
Novel Saliency Analysis for the Forward Forward Algorithm Mitra Bakhshi 18 1 0 18 Sep 2024
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach Debarpan Bhattacharya A. H. Poorjam Deepak Mittal S. Ganapathy 27 0 0 17 Sep 2024
Optimal ablation for interpretability Maximilian Li Lucas Janson FAtt 49 2 0 16 Sep 2024
LMAC-TD: Producing Time Domain Explanations for Audio Classifiers Eleonora Mancini Francesco Paissan Mirco Ravanelli Cem Subakan 31 1 0 13 Sep 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations Joel Brogan Olivera Kotevska Anibely Torres S. Jha Mark Adams 15 0 0 03 Sep 2024
ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang Harshay Shah Kristian Georgiev Aleksander Madry LRM 30 18 0 01 Sep 2024
Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin ViT 34 1 0 22 Aug 2024
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI F. Spagnolo N. Molchanova Mario Ocampo Pineda L. Melie-García Meritxell Bach Cuadra C. Granziera Vincent Andrearczyk A. Depeursinge FAtt MedIm 26 0 0 21 Aug 2024