Sanity Checks for Saliency Maps

8 October 2018

Justin Gilmer

Papers citing "Sanity Checks for Saliency Maps"

50 / 302 papers shown

Title
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 33 0 0 09 May 2025
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications Trisanth Srinivasan Santosh Patapati 34 0 0 03 May 2025
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking Alireza Sadeghi F. Hajati A. Argha Nigel H Lovell Min Yang Hamid Alinejad-Rokny 29 0 0 03 May 2025
In defence of post-hoc explanations in medical AI Joshua Hatherley Lauritz Munch Jens Christian Bjerring 32 0 0 29 Apr 2025
Gradient Attention Map Based Verification of Deep Convolutional Neural Networks with Application to X-ray Image Datasets Omid Halimi Milani Amanda Nikho Lauren Mills M. Tliba Ahmet Enis Cetin Mohammed H. Elnagar MedIm 31 0 0 29 Apr 2025
Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts M. Zarlenga Gabriele Dominici Pietro Barbiero Z. Shams M. Jamnik KELM 141 0 0 24 Apr 2025
ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning S. David Chen Thomas Statchen Michael C. Burkhart Nipun Bhandari Bashar Ramadan Brett Beaulieu-Jones 37 1 0 11 Apr 2025
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? Joshua Hatherley 29 1 0 31 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models Itay Benou Tammy Riklin-Raviv 62 0 0 27 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 44 0 0 24 Feb 2025
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe 74 0 0 21 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 147 0 0 17 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks Jon Vadillo Roberto Santana J. A. Lozano Marta Z. Kwiatkowska BDL AAML 65 0 0 17 Feb 2025
Extending Information Bottleneck Attribution to Video Sequences Veronika Solopova Lucas Schmidt Dorothea Kolossa 47 0 0 28 Jan 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 59 2 0 28 Jan 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya Sukrut Rao Moritz Bohle Bernt Schiele 68 2 0 28 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 34 2 0 03 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 91 0 0 30 Dec 2024
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 76 0 0 23 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 44 0 0 04 Nov 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 73 1 0 09 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
Counterfactual Token Generation in Large Language Models Ivi Chatzi N. C. Benz Eleni Straitouri Stratis Tsirtsis Manuel Gomez Rodriguez LRM 34 3 0 25 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 28 0 0 22 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 51 0 0 16 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 93 0 0 14 Sep 2024
The Evolution of Reinforcement Learning in Quantitative Finance: A Survey Nikolaos Pippas Cagatay Turkay Elliot A. Ludvig AIFin 87 3 0 20 Aug 2024
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation Andrea Failla Salvatore Citraro Xiaoxi He Yi-Lun Pan Yunpeng Cai MedIm 24 4 0 02 Aug 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 40 3 0 27 Jul 2024
Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI Adrian Jaques Böck D. Slijepcevic Matthias Zeppelzauer 42 0 0 25 Jul 2024
Towards A Comprehensive Visual Saliency Explanation Framework for AI-based Face Recognition Systems Yuhang Lu Zewei Xu Touradj Ebrahimi CVBM FAtt XAI 44 3 0 08 Jul 2024
Amazing Things Come From Having Many Good Models Cynthia Rudin Chudi Zhong Lesia Semenova Margo Seltzer Ronald E. Parr Jiachang Liu Srikar Katta Jon Donnelly Harry Chen Zachery Boner 26 23 0 05 Jul 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 40 0 0 17 Jun 2024
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan Luca Della Libera Mirco Ravanelli Cem Subakan 32 4 0 27 May 2024
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables James Hinns David Martens 41 2 0 24 May 2024
Learned feature representations are biased by complexity, learning order, position, and more Andrew Kyle Lampinen Stephanie C. Y. Chan Katherine Hermann AI4CE FaML SSL OOD 32 6 0 09 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
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 23 0 0 03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 52 5 0 02 May 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 37 2 0 06 Apr 2024
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging Tommaso Torda Andrea Ciardiello Simona Gargiulo Greta Grillo Simone Scardapane Cecilia Voena S. Giagu 21 0 0 05 Apr 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
A comprehensive study on fidelity metrics for XAI Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover 28 11 0 19 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 49 4 0 28 Dec 2023
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps Till Beemelmanns Wassim Zahr Lutz Eckstein 27 0 0 22 Dec 2023
CAManim: Animating end-to-end network activation maps Emily Kaczmarek Olivier X. Miguel Alexa C. Bowie R. Ducharme Alysha L. J. Dingwall-Harvey S. Hawken Christine M. Armour Mark C. Walker Kevin Dick HAI 19 1 0 19 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 21 5 0 29 Nov 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 24 4 0 25 Nov 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 24 0 0 20 Nov 2023