Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study

3 February 2020

Papers citing "Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study"

50 / 87 papers shown

Title
Evaluating Model Explanations without Ground Truth Kaivalya Rawal Zihao Fu Eoin Delaney Chris Russell FAtt XAI 27 0 0 15 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 21 0 0 09 May 2025
What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI) Felix Kares Timo Speith Hanwei Zhang Markus Langer FAtt XAI 38 0 0 23 Apr 2025
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI Jiaxin Xu Hung Chau Angela Burden TDI 48 0 0 18 Feb 2025
Identifying Bias in Deep Neural Networks Using Image Transforms Sai Teja Erukude Akhil Joshi Lior Shamir 70 1 0 17 Dec 2024
Towards Human-centered Design of Explainable Artificial Intelligence (XAI): A Survey of Empirical Studies Shuai Ma 24 0 0 28 Oct 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting Maxime Kayser Bayar I. Menzat Cornelius Emde Bogdan Bercean Alex Novak Abdala Espinosa B. Papież Susanne Gaube Thomas Lukasiewicz Oana-Maria Camburu 23 1 0 16 Oct 2024
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models Upol Ehsan Mark O. Riedl 23 2 0 09 Aug 2024
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts Lisa Hemforth B. Couvy-Duchesne Kevin de Matos Camille Brianceau Matthieu Joulot ... V. Frouin Alexandre Martin IMAGEN study group C. Cury O. Colliot 22 1 0 05 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 32 10 0 27 Jul 2024
Graphical Perception of Saliency-based Model Explanations Yayan Zhao Mingwei Li Matthew Berger XAI FAtt 36 2 0 11 Jun 2024
The AI-DEC: A Card-based Design Method for User-centered AI Explanations Christine P. Lee M. Lee Bilge Mutlu HAI 33 4 0 26 May 2024
Explaining Multi-modal Large Language Models by Analyzing their Vision Perception Loris Giulivi Giacomo Boracchi 33 2 0 23 May 2024
Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet Loris Giulivi Giacomo Boracchi 19 2 0 23 May 2024
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models Marvin Pafla Kate Larson Mark Hancock 22 6 0 11 Apr 2024
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps Romy Müller HAI 35 6 0 03 Apr 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 27 5 0 11 Mar 2024
Can Interpretability Layouts Influence Human Perception of Offensive Sentences? Thiago Freitas dos Santos Nardine Osman Marco Schorlemmer 19 0 0 01 Mar 2024
Reimagining Anomalies: What If Anomalies Were Normal? Philipp Liznerski Saurabh Varshneya Ece Calikus Sophie Fellenz Marius Kloft 33 4 0 22 Feb 2024
OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning Jiaqi Ma Vivian Lai Yiming Zhang Chacha Chen Paul Hamilton Davor Ljubenkov Himabindu Lakkaraju Chenhao Tan ELM 19 3 0 20 Feb 2024
Explaining Time Series via Contrastive and Locally Sparse Perturbations Zichuan Liu Yingying Zhang Tianchun Wang Zefan Wang Dongsheng Luo ... Min Wu Yi Wang Chunlin Chen Lunting Fan Qingsong Wen 25 10 0 16 Jan 2024
Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-assisted Decision Making Zhuoyan Li Zhuoran Lu Ming Yin 11 11 0 11 Jan 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability Edmund Mills Shiye Su Stuart J. Russell Scott Emmons 46 7 0 20 Dec 2023
Error Discovery by Clustering Influence Embeddings Fulton Wang Julius Adebayo Sarah Tan Diego Garcia-Olano Narine Kokhlikyan 11 3 0 07 Dec 2023
Understanding Parameter Saliency via Extreme Value Theory Shuo Wang Issei Sato AAML FAtt 9 0 0 27 Oct 2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 17 4 0 21 Sep 2023
TExplain: Explaining Learned Visual Features via Pre-trained (Frozen) Language Models Saeid Asgari Taghanaki Aliasghar Khani Ali Saheb Pasand Amir Khasahmadi Aditya Sanghi K. Willis Ali Mahdavi-Amiri FAtt VLM 14 0 0 01 Sep 2023
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis Yiling He Jian Lou Zhan Qin Kui Ren FAtt AAML 23 7 0 10 Aug 2023
Understanding the Effect of Counterfactual Explanations on Trust and Reliance on AI for Human-AI Collaborative Clinical Decision Making Min Hun Lee Chong Jun Chew 6 28 0 08 Aug 2023
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks Gao Li M. Duda X. Zhang Danai Koutra Yujun Yan 6 8 0 26 Jun 2023
Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations Xinyu Liu Yanl Ding Kaikai An Chunyang Xiao Pranava Madhyastha Tong Xiao Jingbo Zhu 14 2 0 24 Jun 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 19 61 0 12 May 2023
Multimodal Understanding Through Correlation Maximization and Minimization Yi Shi Marc Niethammer 30 0 0 04 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 6 37 0 20 Apr 2023
Performance of GAN-based augmentation for deep learning COVID-19 image classification Oleksandr Fedoruk Konrad Klimaszewski Aleksander Ogonowski Rafal Mo.zd.zonek OOD MedIm 6 11 0 18 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 11 2 0 05 Apr 2023
Model-agnostic explainable artificial intelligence for object detection in image data M. Moradi Ke Yan David Colwell Matthias Samwald Rhona Asgari AAML 41 7 0 30 Mar 2023
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment Hitoshi Matsuyama Nobuo Kawaguchi Brian Y. Lim 18 7 0 16 Mar 2023
The Generalizability of Explanations Hanxiao Tan FAtt 8 1 0 23 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 35 3 0 07 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 43 76 0 24 Jan 2023
On the Relationship Between Explanation and Prediction: A Causal View Amir-Hossein Karimi Krikamol Muandet Simon Kornblith Bernhard Schölkopf Been Kim FAtt CML 24 14 0 13 Dec 2022
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation Julius Adebayo M. Muelly H. Abelson Been Kim 16 86 0 09 Dec 2022
A Rigorous Study Of The Deep Taylor Decomposition Leon Sixt Tim Landgraf FAtt AAML 17 4 0 14 Nov 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 25 91 0 20 Oct 2022
Assessing Out-of-Domain Language Model Performance from Few Examples Prasann Singhal Jarad Forristal Xi Ye Greg Durrett LRM 18 5 0 13 Oct 2022
Responsibility: An Example-based Explainable AI approach via Training Process Inspection Faraz Khadivpour Arghasree Banerjee Matthew J. Guzdial XAI 14 2 0 07 Sep 2022
Monitoring Shortcut Learning using Mutual Information Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai A. Galloway H. R. Tizhoosh Graham W. Taylor 12 5 0 27 Jun 2022
Comparison of attention models and post-hoc explanation methods for embryo stage identification: a case study T. Gomez Thomas Fréour Harold Mouchère 11 3 0 13 May 2022