Latent SHAP: Toward Practical Human-Interpretable Explanations

Latent SHAP: Toward Practical Human-Interpretable Explanations

27 November 2022

Satoru Momiyama

Toshinori Araki

ArXiv (abs)PDF HTML

Papers citing "Latent SHAP: Toward Practical Human-Interpretable Explanations"

10 / 10 papers shown

Title
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 44 10 0 14 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 844 42,332 0 28 May 2020
Explaining Classifiers with Causal Concept Effect (CaCE) Yash Goyal Amir Feder Uri Shalit Been Kim CML 83 178 0 16 Jul 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 219 1,849 0 30 Nov 2017
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Sandra Wachter Brent Mittelstadt Chris Russell MLAU 117 2,360 0 01 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Jinkyu Kim John F. Canny FAtt XAI OOD MILM CML 85 336 0 30 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 332 18,647 0 06 Feb 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.