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1907.04135
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The What-If Tool: Interactive Probing of Machine Learning Models
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
9 July 2019
James Wexler
Mahima Pushkarna
Tolga Bolukbasi
Martin Wattenberg
F. Viégas
Jimbo Wilson
VLM
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Papers citing
"The What-If Tool: Interactive Probing of Machine Learning Models"
40 / 240 papers shown
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs
International Conference on Human Factors in Computing Systems (CHI), 2021
Harini Suresh
Steven R. Gomez
K. Nam
Arvind Satyanarayan
277
144
0
24 Jan 2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
Han Liu
Vivian Lai
Chenhao Tan
416
135
0
13 Jan 2021
Robustness Gym: Unifying the NLP Evaluation Landscape
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Joey Tianyi Zhou
Christopher Ré
AAML
OffRL
OOD
432
155
0
13 Jan 2021
GeCo: Quality Counterfactual Explanations in Real Time
Proceedings of the VLDB Endowment (PVLDB), 2021
Maximilian Schleich
Zixuan Geng
Yihong Zhang
D. Suciu
295
74
0
05 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Md. Naimul Hoque
Klaus Mueller
CML
361
36
0
03 Jan 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Journal of machine learning research (JMLR), 2020
Hubert Baniecki
Wojciech Kretowicz
Piotr Piątyszek
J. Wiśniewski
P. Biecek
FaML
280
123
0
28 Dec 2020
A Statistical Test for Probabilistic Fairness
Bahar Taşkesen
Jose H. Blanchet
Daniel Kuhn
Viet Anh Nguyen
FaML
263
47
0
09 Dec 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
493
43
0
22 Nov 2020
TBSSvis: Visual Analytics for Temporal Blind Source Separation
Visual Informatics (VI), 2020
Nikolaus Piccolotto
M. Bögl
T. Gschwandtner
C. Muehlmann
K. Nordhausen
Peter Filzmoser
Silvia Miksch
AI4TS
300
9
0
19 Nov 2020
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning
Chuan-Chi Wang
K. Ma
OOD
LLMSV
103
3
0
04 Nov 2020
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
341
144
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
144
32
0
22 Oct 2020
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
Haiyi Zhu
Wesley Hanwen Deng
Aditi Chattopadhyay
Zhiwei Steven Wu
Xu Wang
Haiyi Zhu
269
69
0
22 Oct 2020
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review
ACM Computing Surveys (ACM CSUR), 2020
Sahil Verma
Varich Boonsanong
Minh Hoang
Keegan E. Hines
John P. Dickerson
Chirag Shah
CML
718
251
0
20 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
J. Herbinger
AI4TS
AI4CE
385
474
0
19 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi
Gilles Barthe
Bernhard Schölkopf
Isabel Valera
FaML
351
185
0
08 Oct 2020
Measure Utility, Gain Trust: Practical Advice for XAI Researcher
B. Pierson
M. Glenski
William I. N. Sealy
Dustin L. Arendt
152
29
0
27 Sep 2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Tiankai Xie
Yuxin Ma
Hanghang Tong
My T. Thai
Ross Maciejewski
MLAU
120
8
0
15 Sep 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Yuxin Ma
Arlen Fan
Jingrui He
A. R. Nelakurthi
Ross Maciejewski
148
29
0
15 Sep 2020
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Xiao Xie
F. Du
Yingcai Wu
CML
107
45
0
05 Sep 2020
A Visual Analytics Approach to Debugging Cooperative, Autonomous Multi-Robot Systems' Worldviews
IEEE Conference on Visual Analytics Science and Technology (VAST), 2020
S. Bae
Federico Rossi
J. V. Hook
Scott Davidoff
K. Ma
64
8
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
286
257
0
21 Aug 2020
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models
Furui Cheng
Yao Ming
Huamin Qu
CML
HAI
140
124
0
19 Aug 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ian Tenney
James Wexler
Jasmijn Bastings
Tolga Bolukbasi
Andy Coenen
...
Ellen Jiang
Mahima Pushkarna
Carey Radebaugh
Emily Reif
Ann Yuan
VLM
357
210
0
12 Aug 2020
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Wei Zeng
Chengqiao Lin
Juncong Lin
Jincheng Jiang
Jiazhi Xia
Cagatay Turkay
Wei Chen
90
32
0
30 Jul 2020
Diagnosing Concept Drift with Visual Analytics
IEEE Conference on Visual Analytics Science and Technology (VAST), 2020
Weikai Yang
Zhuguo Li
Mengchen Liu
Yafeng Lu
Kelei Cao
Ross Maciejewski
Shixia Liu
266
40
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
150
19
0
21 Jul 2020
The Grammar of Interactive Explanatory Model Analysis
Data mining and knowledge discovery (DMKD), 2020
Hubert Baniecki
Dariusz Parzych
P. Biecek
321
53
0
01 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Graphics Interface (GI), 2020
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
164
8
0
26 Apr 2020
Multi-Objective Counterfactual Explanations
Susanne Dandl
Christoph Molnar
Martin Binder
J. Herbinger
310
297
0
23 Apr 2020
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher
Aditya Barve
Xinyi Yu
Florian Heimerl
VLM
HAI
152
45
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
140
14
0
13 Mar 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models
International Conference on Intelligent User Interfaces (IUI), 2020
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
184
103
0
05 Mar 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Conference on Fairness, Accountability and Transparency (FAccT), 2020
Amir-Hossein Karimi
Bernhard Schölkopf
Isabel Valera
CML
539
393
0
14 Feb 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Qianwen Wang
W. Alexander
J. Pegg
Huamin Qu
Min Chen
VLM
124
12
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
329
32
0
24 Jan 2020
On the Morality of Artificial Intelligence
IEEE technology & society magazine (IEEE Technol. Soc. Mag.), 2019
A. Luccioni
Yoshua Bengio
AI4TS
FaML
141
28
0
26 Dec 2019
Group Fairness in Bandit Arm Selection
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Candice Schumann
Zhi Lang
Nicholas Mattei
John P. Dickerson
FaML
277
16
0
09 Dec 2019
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion
IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG), 2019
A. Hinterreiter
Peter Ruch
Holger Stitz
Martin Ennemoser
J. Bernard
Hendrik Strobelt
M. Streit
148
50
0
02 Oct 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Amir-Hossein Karimi
Gilles Barthe
Borja Balle
Isabel Valera
390
370
0
27 May 2019
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