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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
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming A. Takemura Katsumi Inoue 49 0 0 14 Oct 2024
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 53 1 0 14 Oct 2024
XAI-based Feature Selection for Improved Network Intrusion Detection Systems Osvaldo Arreche Tanish Guntur Mustafa Abdallah AAML 47 0 0 14 Oct 2024
CoTCoNet: An Optimized Coupled Transformer-Convolutional Network with an Adaptive Graph Reconstruction for Leukemia Detection Chandravardhan Singh Raghaw Arnav Sharma Shubhi Bansal Mohammad Zia Ur Rehman Nagendra Kumar MedIm 70 11 0 11 Oct 2024
A Theoretical Framework for AI-driven data quality monitoring in high-volume data environments Nikhil Bangad Vivekananda Jayaram Manjunatha Sughaturu Krishnappa Amey Ram Banarse Darshan Mohan Bidkar Akshay Nagpal Vidyasagar Parlapalli 33 0 0 11 Oct 2024
Bilinear MLPs enable weight-based mechanistic interpretability Michael T. Pearce Thomas Dooms Alice Rigg José Oramas Lee Sharkey 64 5 0 10 Oct 2024
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations Stephen Carrow Kyle Harper Erwin Olga Vilenskaia Parikshit Ram Tim Klinger Naweed Khan Ndivhuwo Makondo Alexander Gray 45 1 0 10 Oct 2024
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence Louise McCormack Malika Bendechache XAI 97 1 0 10 Oct 2024
Learning Low-Level Causal Relations using a Simulated Robotic Arm Miroslav Cibula Matthias Kerzel Igor Farkaš CML 25 0 0 10 Oct 2024
Explainability of Deep Neural Networks for Brain Tumor Detection S. Park J. Kim MedIm 56 0 0 10 Oct 2024
Audio Explanation Synthesis with Generative Foundation Models Alican Akman Qiyang Sun Björn W. Schuller 70 1 0 10 Oct 2024
Time Can Invalidate Algorithmic Recourse Giovanni De Toni Stefano Teso Bruno Lepri Andrea Passerini 72 1 0 10 Oct 2024
Unlearning-based Neural Interpretations Ching Lam Choi Alexandre Duplessis Serge Belongie FAtt 233 0 0 10 Oct 2024
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap Georgia Channing Juil Sock Ronald Clark Philip Torr Christian Schroeder de Witt 68 4 0 09 Oct 2024
Stanceformer: Target-Aware Transformer for Stance Detection Krishna Garg Cornelia Caragea 68 1 0 09 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 148 1 0 09 Oct 2024
Unveiling Transformer Perception by Exploring Input Manifolds A. Benfenati Alfio Ferrara A. Marta Davide Riva Elisabetta Rocchetti 67 0 0 08 Oct 2024
Demonstration Based Explainable AI for Learning from Demonstration Methods Morris Gu Elizabeth Croft Dana Kulic 36 0 0 08 Oct 2024
Understanding with toy surrogate models in machine learning Andrés Páez SyDa 101 0 0 08 Oct 2024
Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning A. Diallo Vaishak Belle P. Patras AAML 53 0 0 07 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions Helena Lofstrom Tuwe Löfström Johan Hallberg Szabadvary 53 0 0 07 Oct 2024
Mechanistic? Naomi Saphra Sarah Wiegreffe AI4CE 57 12 0 07 Oct 2024
Explanation sensitivity to the randomness of large language models: the case of journalistic text classification Jérémie Bogaert Marie-Catherine de Marneffe Antonin Descampe Louis Escouflaire Cedrick Fairon François-Xavier Standaert 93 1 0 07 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 102 4 0 07 Oct 2024
Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task Chengyuan Xu Kuo-Chin Lien Tobias Höllerer 43 10 0 06 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models Andreas Mueller Julien N. Siems Harsha Nori David Salinas Arber Zela Rich Caruana Frank Hutter AI4CE 109 3 0 06 Oct 2024
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing Daking Rai Rydia R. Weiland Kayla Margaret Gabriella Herrera Tyler H. Shaw Ziyu Yao 74 2 0 05 Oct 2024
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 88 2 0 05 Oct 2024
Variational Language Concepts for Interpreting Foundation Language Models Hengyi Wang Shiwei Tan Zhiqing Hong Desheng Zhang Hao Wang 99 3 0 04 Oct 2024
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 60 0 0 04 Oct 2024
An Approach To Enhance IoT Security In 6G Networks Through Explainable AI Navneet Kaur Lav Gupta 61 1 0 04 Oct 2024
Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System Fajrian Yunus Talel Abdessalem FAtt XAI HAI 29 0 0 04 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 86 1 0 04 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 83 5 0 03 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 106 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 69 5 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 48 0 0 02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 66 0 0 02 Oct 2024
SHAP-CAT: A interpretable multi-modal framework enhancing WSI classification via virtual staining and shapley-value-based multimodal fusion Jun Wang Yu Mao Nan Guan Chun Jason Xue 62 1 0 02 Oct 2024
Enhancing End Stage Renal Disease Outcome Prediction: A Multi-Sourced Data-Driven Approach Yubo Li R. Padman 81 2 0 02 Oct 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 76 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 99 0 0 30 Sep 2024
Sufficient and Necessary Explanations (and What Lies in Between) Beepul Bharti Paul H. Yi Jeremias Sulam XAI FAtt 107 2 0 30 Sep 2024
Image-guided topic modeling for interpretable privacy classification Alina Elena Baia Andrea Cavallaro 78 0 0 27 Sep 2024
"Oh LLM, I'm Asking Thee, Please Give Me a Decision Tree": Zero-Shot Decision Tree Induction and Embedding with Large Language Models Ricardo Knauer Mario Koddenbrock Raphael Wallsberger Nicholas M. Brisson Georg N. Duda Deborah Falla David W. Evans Erik Rodner 161 0 0 27 Sep 2024
PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond Jongseo Lee Geo Ahn Seong Tae Kim Jinwoo Choi 50 0 0 26 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 47 1 0 26 Sep 2024
Recent advances in interpretable machine learning using structure-based protein representations L. Vecchietti Minji Lee Begench Hangeldiyev Hyunkyu Jung Hahnbeom Park Tae-Kyun Kim Meeyoung Cha Ho Min Kim AI4CE 107 1 0 26 Sep 2024
Criticality and Safety Margins for Reinforcement Learning Alexander Grushin Walt Woods Alvaro Velasquez Simon Khan AAML 75 1 0 26 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 486 2 0 25 Sep 2024