Sanity Checks for Saliency Maps

8 October 2018

Justin Gilmer

Papers citing "Sanity Checks for Saliency Maps"

50 / 357 papers shown

Title
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 32 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 26 1 0 19 Dec 2023
Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust in Laypeople and Domain Experts Tessa Han Yasha Ektefaie Maha Farhat Marinka Zitnik Himabindu Lakkaraju FAtt 11 2 0 09 Dec 2023
Improving Interpretation Faithfulness for Vision Transformers Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang 37 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 26 0 0 20 Nov 2023
Auxiliary Losses for Learning Generalizable Concept-based Models Ivaxi Sheth Samira Ebrahimi Kahou 32 24 0 18 Nov 2023
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System Heon Kwak Sung-Jin Kim Hyeon-Taek Han Ji-Hoon Jeong Seong-Whan Lee 10 0 0 15 Nov 2023
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting Eoin M. Kenny Eoin Delaney Markt. Keane 31 5 0 06 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 26 26 0 28 Oct 2023
LICO: Explainable Models with Language-Image Consistency Yiming Lei Zilong Li Yangyang Li Junping Zhang Hongming Shan VLM FAtt 17 7 0 15 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 32 1 0 26 Sep 2023
Interpretability-Aware Vision Transformer Yao Qiang Chengyin Li Prashant Khanduri D. Zhu ViT 82 7 0 14 Sep 2023
Automatic Concept Embedding Model (ACEM): No train-time concepts, No issue! Rishabh Jain LRM 29 0 0 07 Sep 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 34 2 0 07 Sep 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition Robert van der Klis Stephan Alaniz Massimiliano Mancini C. Dantas Dino Ienco Zeynep Akata Diego Marcos 22 11 0 06 Sep 2023
DeViL: Decoding Vision features into Language Meghal Dani Isabel Rio-Torto Stephan Alaniz Zeynep Akata VLM 42 7 0 04 Sep 2023
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification Felipe Moreno-Vera E. Medina Jorge Poco 21 2 0 29 Aug 2023
Interpretation on Multi-modal Visual Fusion Hao Chen Hao Zhou Yongjian Deng 36 0 0 19 Aug 2023
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference Edouard Yvinec Arnaud Dapogny Kévin Bailly Xavier Fischer AAML 8 2 0 09 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 27 4 0 06 Aug 2023
Unlearning Spurious Correlations in Chest X-ray Classification Misgina Tsighe Hagos Kathleen M. Curran Brian Mac Namee CML OOD 18 0 0 02 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 24 0 0 01 Aug 2023
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography H. Vaseli A. Gu Ahmadi Amiri Michael Y. Tsang A. Fung Nima Kondori Armin Saadat Purang Abolmaesumi T. Tsang 33 12 0 26 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 29 12 0 26 Jul 2023
Uncovering Unique Concept Vectors through Latent Space Decomposition Mara Graziani Laura Mahony An-phi Nguyen Henning Muller Vincent Andrearczyk 43 4 0 13 Jul 2023
Robust Ranking Explanations Chao Chen Chenghua Guo Guixiang Ma Ming Zeng Xi Zhang Sihong Xie FAtt AAML 35 0 0 08 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 30 0 0 07 Jul 2023
Generalizing Backpropagation for Gradient-Based Interpretability Kevin Du Lucas Torroba Hennigen Niklas Stoehr Alex Warstadt Ryan Cotterell MILM FAtt 29 7 0 06 Jul 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 24 0 0 12 Jun 2023
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors Quoc Khanh Nguyen Hung Truong Thanh Nguyen Truong Thanh Hung Nguyen Van Binh Truong Quoc Hung Cao 24 4 0 06 Jun 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness Suraj Srinivas Sebastian Bordt Hima Lakkaraju AAML 30 11 0 30 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies Jonas Teufel Luca Torresi Pascal Friederich FAtt 31 1 0 25 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 21 37 0 20 Apr 2023
One Explanation Does Not Fit XIL Felix Friedrich David Steinmann Kristian Kersting LRM 37 2 0 14 Apr 2023
Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition Bulat Khaertdinov S. Asteriadis 26 3 0 14 Apr 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 19 12 0 13 Apr 2023
Explanation of Face Recognition via Saliency Maps Yuhang Lu Touradj Ebrahimi XAI CVBM 13 3 0 12 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 26 7 0 12 Apr 2023
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis Cristiano Patrício João C. Neves Luís F. Teixeira MedIm FAtt 24 17 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 30 18 0 07 Apr 2023
Are Data-driven Explanations Robust against Out-of-distribution Data? Tang Li Fengchun Qiao Mengmeng Ma Xiangkai Peng OODD OOD 33 10 0 29 Mar 2023
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs V. V. Ramaswamy Sunnie S. Y. Kim Ruth C. Fong Olga Russakovsky 32 0 0 27 Mar 2023
Evaluating self-attention interpretability through human-grounded experimental protocol Milan Bhan Nina Achache Victor Legrand A. Blangero N. Chesneau 26 9 0 27 Mar 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 40 7 0 23 Mar 2023
The Representational Status of Deep Learning Models Eamon Duede 19 0 0 21 Mar 2023
Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification Alessandro Wollek Robert Graf Saša Čečatka N. Fink Theresa Willem B. Sabel Tobias Lasser 15 26 0 03 Mar 2023