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"Why Should I Trust You?": Explaining the Predictions of Any Classifier

16 February 2016

Papers citing ""Why Should I Trust You?": Explaining the Predictions of Any Classifier"

50 / 3,508 papers shown

Title
The Quest for the Right Mediator: A History, Survey, and Theoretical Grounding of Causal Interpretability Aaron Mueller Jannik Brinkmann Millicent Li Samuel Marks Koyena Pal ... Arnab Sen Sharma Jiuding Sun Eric Todd David Bau Yonatan Belinkov CML 109 25 0 02 Aug 2024
EmoBack: Backdoor Attacks Against Speaker Identification Using Emotional Prosody Coen Schoof Hao-Wen Dong Mauro Conti S. Picek AAML 63 2 0 02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 45 1 0 02 Aug 2024
META-ANOVA: Screening interactions for interpretable machine learning Daniel A. Serino Marc L. Klasky Chanmoo Park Dongha Kim Yongdai Kim 65 0 0 02 Aug 2024
Explaining a probabilistic prediction on the simplex with Shapley compositions Paul-Gauthier Noé Miquel Perelló Nieto J. Bonastre Peter Flach TDI FAtt 68 0 0 02 Aug 2024
Explainable Emotion Decoding for Human and Computer Vision Alessio Borriero Martina Milazzo M. Diano Davide Orsenigo Maria Chiara Villa Chiara Di Fazio Marco Tamietto Alan Perotti 50 0 0 01 Aug 2024
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability Sai Balaji Christopher Sun Anaiy Somalwar 27 0 0 01 Aug 2024
Probabilistic Scoring Lists for Interpretable Machine Learning Jonas Hanselle Stefan Heid Zhigang Zeng Eyke Hüllermeier 58 0 0 31 Jul 2024
Need of AI in Modern Education: in the Eyes of Explainable AI (xAI) Supriya Manna Dionis Barcari 118 3 0 31 Jul 2024
Can LLMs be Fooled? Investigating Vulnerabilities in LLMs Sara Abdali Jia He C. Barberan Richard Anarfi 80 7 0 30 Jul 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach Adam Wojciechowski Mateusz Lango Ondrej Dusek FAtt 58 1 0 30 Jul 2024
Can I trust my anomaly detection system? A case study based on explainable AI Muhammad Rashid E. Amparore Enrico Ferrari Damiano Verda 64 0 0 29 Jul 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Mingli Song XAI 66 1 0 28 Jul 2024
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector Xianren Zhang Dongwon Lee Suhang Wang VLM FAtt 76 4 0 27 Jul 2024
CoLiDR: Concept Learning using Aggregated Disentangled Representations Sanchit Sinha Guangzhi Xiong Aidong Zhang 91 2 0 27 Jul 2024
Formalization of Dialogue in the Decision Support System of Dr. Watson Type Saveli Goldberg Vladimir Sluchak 14 0 0 27 Jul 2024
Understanding XAI Through the Philosopher's Lens: A Historical Perspective Martina Mattioli Antonio Emanuele Cinà Marcello Pelillo XAI 99 0 0 26 Jul 2024
Trusting Your AI Agent Emotionally and Cognitively: Development and Validation of a Semantic Differential Scale for AI Trust Ruoxi Shang Gary Hsieh Chirag Shah 114 0 0 25 Jul 2024
Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI Adrian Jaques Böck D. Slijepcevic Matthias Zeppelzauer 61 0 0 25 Jul 2024
Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference Catherine Huang Martin Pawelczyk Himabindu Lakkaraju AAML 49 1 0 24 Jul 2024
What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers Md. Shajalal Md. Atabuzzaman Alexander Boden Gunnar Stevens Delong Du 76 0 0 24 Jul 2024
The Hybrid Forecast of S&P 500 Volatility ensembled from VIX, GARCH and LSTM models Natalia Roszyk R. Ślepaczuk AIFin VLM 36 2 0 23 Jul 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 56 2 0 23 Jul 2024
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help? Cristiana Lalletti Stefano Teso 63 1 0 23 Jul 2024
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting Pierre-Daniel Arsenault Shengrui Wang Jean-Marc Patenande XAI AI4TS 111 2 0 22 Jul 2024
Explaining Decisions in ML Models: a Parameterized Complexity Analysis S. Ordyniak Giacomo Paesani Mateusz Rychlicki Stefan Szeider 63 1 0 22 Jul 2024
The Contribution of XAI for the Safe Development and Certification of AI: An Expert-Based Analysis Benjamin Frész Vincent Philipp Goebels Safa Omri Danilo Brajovic Andreas Aichele Janika Kutz Jens Neuhüttler Marco F. Huber 110 0 0 22 Jul 2024
Learning at a Glance: Towards Interpretable Data-limited Continual Semantic Segmentation via Semantic-Invariance Modelling Bo Yuan Danpei Zhao Z. Shi VLM CLL 81 3 0 22 Jul 2024
They Look Like Each Other: Case-based Reasoning for Explainable Depression Detection on Twitter using Large Language Models Mohammad Saeid Mahdavinejad Peyman Adibi A. Monadjemi Pascal Hitzler 98 0 0 21 Jul 2024
Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning Ari Tchetchenian L. Zekelman Yuqian Chen J. Rushmore Fan Zhang ... N. Makris Yogesh Rathi Erik H. W. Meijering Yang Song L. O’Donnell 76 1 0 21 Jul 2024
Recent Advances in Generative AI and Large Language Models: Current Status, Challenges, and Perspectives D. Hagos Rick Battle Danda B. Rawat LM&MA OffRL 88 25 0 20 Jul 2024
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks Sarah Jabbour Gregory Kondas Ella Kazerooni Michael Sjoding David Fouhey Jenna Wiens FAtt DiffM 58 1 0 19 Jul 2024
Evaluating the Reliability of Self-Explanations in Large Language Models Korbinian Randl John Pavlopoulos Aron Henriksson Tony Lindgren LRM 104 1 0 19 Jul 2024
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agent Alejandra de la Rica Escudero E.C. Garrido-Merchán Maria Coronado Vaca AIFin 79 3 0 19 Jul 2024
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition Youssef Doulfoukar Laurent Mertens Joost Vennekens FAtt 70 0 0 19 Jul 2024
Auditing Local Explanations is Hard Robi Bhattacharjee U. V. Luxburg LRM MLAU FAtt 88 2 0 18 Jul 2024
Many Perception Tasks are Highly Redundant Functions of their Input Data Rahul Ramesh Anthony Bisulco Ronald W. DiTullio Linran Wei Vijay Balasubramanian Kostas Daniilidis Pratik Chaudhari 98 2 0 18 Jul 2024
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI Qi Huang Emanuele Mezzi Osman Mutlu Miltiadis Kofinas Vidya Prasad Shadnan Azwad Khan Elena Ranguelova Niki van Stein 92 0 0 17 Jul 2024
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 93 3 0 17 Jul 2024
End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence W. Ciezobka J. Falco-Roget C. Koba A. Crimi 64 1 0 17 Jul 2024
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment Yong-Hyun Park Junghoon Seo Bomseok Park Seongsu Lee Junghyo Jo AAML 69 0 0 17 Jul 2024
Evaluating graph-based explanations for AI-based recommender systems Simon Delarue Astrid Bertrand Tiphaine Viard 69 0 0 17 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps Junseo Park Hyeryung Jang 252 1 0 17 Jul 2024
Are Linear Regression Models White Box and Interpretable? A. M. Salih Yuhe Wang XAI 64 2 0 16 Jul 2024
Interpretability in Action: Exploratory Analysis of VPT, a Minecraft Agent Karolis Jucys George Adamopoulos Mehrab Hamidi Stephanie Milani Mohammad Reza Samsami Artem Zholus Sonia Joseph Blake A. Richards Irina Rish Özgür Simsek 67 3 0 16 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 82 3 0 16 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 99 1 0 16 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach Truong Thanh Hung Nguyen Phuc Truong Loc Nguyen Hung Cao 60 4 0 16 Jul 2024
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance M. Kozielski Marek Sikora Lukasz Wawrowski 94 1 0 16 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 87 21 0 16 Jul 2024