The What-If Tool: Interactive Probing of Machine Learning Models

9 July 2019

Papers citing "The What-If Tool: Interactive Probing of Machine Learning Models"

30 / 230 papers shown

Title
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 13 126 0 30 Oct 2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines Austin P. Wright Zijie J. Wang Haekyu Park G. Guo F. Sperrle Mennatallah El-Assady Alex Endert Daniel A. Keim Duen Horng Chau 14 30 0 22 Oct 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation Hong Shen Wesley Hanwen Deng Aditi Chattopadhyay Zhiwei Steven Wu Xu Wang Haiyi Zhu 19 63 0 22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 24 162 0 20 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 10 397 0 19 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 6 172 0 08 Oct 2020
Measure Utility, Gain Trust: Practical Advice for XAI Researcher B. Pierson M. Glenski William I. N. Sealy Dustin L. Arendt 8 28 0 27 Sep 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics Tiankai Xie Yuxin Ma Hanghang Tong My T. Thai Ross Maciejewski MLAU 25 7 0 15 Sep 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 4 25 0 15 Sep 2020
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications Xiao Xie F. Du Yingcai Wu CML 6 35 0 05 Sep 2020
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews S. Bae Federico Rossi J. V. Hook Scott Davidoff K. Ma 12 7 0 03 Sep 2020
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 19 216 0 21 Aug 2020
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models Furui Cheng Yao Ming Huamin Qu CML HAI 6 99 0 19 Aug 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models Ian Tenney James Wexler Jasmijn Bastings Tolga Bolukbasi Andy Coenen ... Ellen Jiang Mahima Pushkarna Carey Radebaugh Emily Reif Ann Yuan VLM 36 191 0 12 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei-Neng Chen 11 27 0 30 Jul 2020
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 45 33 0 28 Jul 2020
Melody: Generating and Visualizing Machine Learning Model Summary to Understand Data and Classifiers Together G. Chan E. Bertini L. G. Nonato Brian Barr Claudio T. Silva 20 17 0 21 Jul 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 16 44 0 01 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias Po-Ming Law Sana Malik F. Du Moumita Sinha 18 6 0 26 Apr 2020
Multi-Objective Counterfactual Explanations Susanne Dandl Christoph Molnar Martin Binder B. Bischl 11 250 0 23 Apr 2020
Boxer: Interactive Comparison of Classifier Results Michael Gleicher Aditya Barve Xinyi Yu Florian Heimerl VLM HAI 6 40 0 16 Apr 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law Sana Malik F. Du Moumita Sinha 19 12 0 13 Mar 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 52 93 0 05 Mar 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 11 337 0 14 Feb 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models Qianwen Wang W. Alexander J. Pegg Huamin Qu Min Chen VLM 12 10 0 12 Feb 2020
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience Bhavya Ghai Q. V. Liao Yunfeng Zhang Rachel K. E. Bellamy Klaus Mueller 12 29 0 24 Jan 2020
On the Morality of Artificial Intelligence A. Luccioni Yoshua Bengio AI4TS FaML 8 23 0 26 Dec 2019
Group Fairness in Bandit Arm Selection Candice Schumann Zhi Lang Nicholas Mattei John P. Dickerson FaML 14 15 0 09 Dec 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion A. Hinterreiter Peter Ruch Holger Stitz Martin Ennemoser J. Bernard Hendrik Strobelt M. Streit 11 43 0 02 Oct 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 25 317 0 27 May 2019