The Mythos of Model Interpretability

10 June 2016

Papers citing "The Mythos of Model Interpretability"

31 / 31 papers shown

Title
BACON: A fully explainable AI model with graded logic for decision making problems Haishi Bai Jozo Dujmovic Jianwu Wang 88 0 0 20 May 2025
Limits of trust in medical AI Joshua Hatherley 57 132 0 20 Mar 2025
AI Enabled User-Specific Cyberbullying Severity Detection with Explainability Tabia Tanzin Prama Jannatul Ferdaws Amrin M. Anwar Iqbal H. Sarker 56 0 0 04 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 369 1 0 28 Feb 2025
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 78 0 0 21 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 65 0 0 03 Feb 2025
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Giovanni Ciatto Federico Sabbatini Andrea Agiollo Matteo Magnini Andrea Omicini 69 15 0 28 Jan 2025
Causal Deep Learning M. Alex O. Vasilescu CML 90 2 1 03 Jan 2025
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 83 1 0 02 Nov 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 89 1 0 01 Jul 2024
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory Yukun Zhang Qi Dong 59 0 0 23 Jun 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 143 6 0 18 Mar 2024
Improving Model's Interpretability and Reliability using Biomarkers Gautam Rajendrakumar Gare Thomas H. Fox Beam Chansangavej Amita Krishnan R. Rodriguez Bennett P deBoisblanc Deva Ramanan J. Galeotti 29 0 0 16 Feb 2024
Unveiling the frontiers of deep learning: innovations shaping diverse domains Shams Forruque Ahmed Md. Sakib Bin Alam Maliha Kabir Shaila Afrin Sabiha Jannat Rafa Aanushka Mehjabin Amir H. Gandomi AI4CE 60 2 0 06 Sep 2023
The Representational Status of Deep Learning Models Eamon Duede 44 0 0 21 Mar 2023
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 135 6 0 15 Sep 2022
Is deep learning necessary for simple classification tasks? Joseph D. Romano Trang T. Le Weixuan Fu J. Moore 88 15 0 11 Jun 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 86 82 0 17 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 194 10,591 0 17 Feb 2020
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments D. Atkinson K. Srinivasan Chenhao Tan 52 16 0 01 Nov 2019
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations Josua Krause Aritra Dasgupta Jordan Swartz Yindalon Aphinyanagphongs E. Bertini FAtt 38 96 0 04 May 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 285 2,098 0 24 Oct 2016
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 55 1,888 0 28 Jun 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 551 16,765 0 16 Feb 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 56 3,742 0 20 Nov 2015
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification Been Kim Cynthia Rudin J. Shah 45 321 0 03 Mar 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 92 1,959 0 26 Nov 2014
Graph-Sparse LDA: A Topic Model with Structured Sparsity Finale Doshi-Velez Byron C. Wallace Ryan P. Adams 25 54 0 16 Oct 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 164 14,831 1 21 Dec 2013
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 162 7,252 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 287 33,445 0 16 Oct 2013