Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1907.04135
Cited By
v1
v2 (latest)
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"The What-If Tool: Interactive Probing of Machine Learning Models"
50 / 240 papers shown
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
International Conference on Human Factors in Computing Systems (CHI), 2022
Anna Kawakami
Venkatesh Sivaraman
H. Cheng
Logan Stapleton
Yanghuidi Cheng
Diana Qing
Adam Perer
Zhiwei Steven Wu
Haiyi Zhu
Kenneth Holstein
210
123
0
05 Apr 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers
Computer Vision and Pattern Recognition (CVPR), 2022
Estelle Aflalo
Meng Du
Shao-Yen Tseng
Yongfei Liu
Chenfei Wu
Nan Duan
Vasudev Lal
189
55
0
30 Mar 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series
Deborah Sulem
Michele Donini
Muhammad Bilal Zafar
François-Xavier Aubet
Jan Gasthaus
Tim Januschowski
Sanjiv Ranjan Das
K. Kenthapadi
Cédric Archambeau
AAML
218
12
0
21 Mar 2022
StickyLand: Breaking the Linear Presentation of Computational Notebooks
Zijie J. Wang
Katie Dai
W. K. Edwards
105
32
0
22 Feb 2022
Symphony: Composing Interactive Interfaces for Machine Learning
International Conference on Human Factors in Computing Systems (CHI), 2022
Alex Bäuerle
Ángel Alexander Cabrera
Fred Hohman
Megan Maher Welsh
David Koski
Xavier Suau
Titus Barik
Dominik Moritz
176
59
0
18 Feb 2022
Bias and unfairness in machine learning models: a systematic literature review
T. P. Pagano
R. B. Loureiro
F. V. N. Lisboa
G. O. R. Cruz
R. M. Peixoto
...
Maira M. Araujo
Marco A. S. Cruz
Ewerton L. S. Oliveira
Ingrid Winkler
E. G. S. Nascimento
FaML
242
27
0
16 Feb 2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Yan Lyu
Hangxin Lu
Min Kyung Lee
G. Schmitt
Brian Y. Lim
134
20
0
15 Feb 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Junpeng Wang
Liang Wang
Yan Zheng
Chin-Chia Michael Yeh
Shubham Jain
Wei Zhang
FAtt
157
16
0
19 Jan 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools
Piero Fraternali
Federico Milani
Rocio Nahime Torres
Niccolò Zangrando
AAML
371
12
0
17 Jan 2022
Visual Identification of Problematic Bias in Large Label Spaces
Alex Bauerle
Aybuke Turker
Ken Burke
Osman Aka
Timo Ropinski
Christina Greer
Mani Varadarajan
143
2
0
17 Jan 2022
Towards Explainable Artificial Intelligence in Banking and Financial Services
Ambreen Hanif
116
12
0
14 Dec 2021
A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions
Brianna Richardson
J. Gilbert
FaML
167
48
0
10 Dec 2021
MCCE: Monte Carlo sampling of realistic counterfactual explanations
Annabelle Redelmeier
Martin Jullum
K. Aas
Anders Løland
BDL
169
11
0
18 Nov 2021
Interactive Analysis of CNN Robustness
Stefan Sietzen
Mathias Lechner
Judy Borowski
Ramin Hasani
Manuela Waldner
AAML
135
15
0
14 Oct 2021
A Sociotechnical View of Algorithmic Fairness
Information Systems Journal (ISJ), 2021
Mateusz Dolata
Stefan Feuerriegel
Gerhard Schwabe
FaML
196
118
0
27 Sep 2021
Augmenting Decision Making via Interactive What-If Analysis
Sneha Gathani
Madelon Hulsebos
James Gale
P. Haas
cCaugatay Demiralp
259
11
0
13 Sep 2021
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model Validation
Oscar Gomez
Steffen Holter
Jun Yuan
E. Bertini
AAML
CML
HAI
82
25
0
12 Sep 2021
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud
Knowledge Discovery and Data Mining (KDD), 2021
Michaela Hardt
Xiaoguang Chen
Xiaoyi Cheng
Michele Donini
J. Gelman
...
Muhammad Bilal Zafar
Sanjiv Ranjan Das
Kevin Haas
Tyler Hill
K. Kenthapadi
ELM
FaML
128
50
0
07 Sep 2021
Contrastive Identification of Covariate Shift in Image Data
Matthew Lyle Olson
Thu Nguyen
Gaurav Dixit
Neale Ratzlaff
Weng-Keen Wong
Minsuk Kahng
OOD
177
11
0
18 Aug 2021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Furui Cheng
Dongyu Liu
F. Du
Yanna Lin
Alexandra Zytek
Haomin Li
Huamin Qu
K. Veeramachaneni
127
49
0
04 Aug 2021
Improving Visualization Interpretation Using Counterfactuals
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Smiti Kaul
D. Borland
Nan Cao
David Gotz
CML
120
24
0
21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
IEEE Access (IEEE Access), 2021
Eike Petersen
Yannik Potdevin
Esfandiar Mohammadi
Stephan Zidowitz
Sabrina Breyer
...
Sandra Henn
Ludwig Pechmann
M. Leucker
P. Rostalski
Christian Herzog
FaML
AILaw
OOD
269
35
0
20 Jul 2021
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior
International Conference on Human Factors in Computing Systems (CHI), 2021
Angie Boggust
Benjamin Hoover
Arvindmani Satyanarayan
Hendrik Strobelt
189
60
0
20 Jul 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Xingbo Wang
Jianben He
Zhihua Jin
Muqiao Yang
Yong Wang
Huamin Qu
196
92
0
17 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
G. dÉon
Jason dÉon
J. R. Wright
Kevin Leyton-Brown
184
84
0
01 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
402
111
0
01 Jul 2021
Explanatory Pluralism in Explainable AI
International Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2021
Yiheng Yao
XAI
149
5
0
26 Jun 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations
Abubakar Abid
Mert Yuksekgonul
James Zou
CML
190
74
0
24 Jun 2021
Rational Shapley Values
Conference on Fairness, Accountability and Transparency (FAccT), 2021
David S. Watson
127
27
0
18 Jun 2021
FairCanary: Rapid Continuous Explainable Fairness
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Avijit Ghosh
Aalok Shanbhag
Christo Wilson
295
23
0
13 Jun 2021
FedNLP: An interpretable NLP System to Decode Federal Reserve Communications
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Jean Lee
Hoyoul Luis Youn
Nicholas Stevens
Josiah Poon
S. Han
112
12
0
11 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh
Sebastian Müller
Matthias Jakobs
Vanessa Toborek
Hanxiao Tan
Raphael Fischer
Pascal Welke
Sebastian Houben
Laura von Rueden
XAI
277
31
0
21 May 2021
Cause and Effect: Hierarchical Concept-based Explanation of Neural Networks
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Mohammad Nokhbeh Zaeem
Majid Komeili
CML
192
11
0
14 May 2021
When Fair Ranking Meets Uncertain Inference
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Avijit Ghosh
Ritam Dutt
Christo Wilson
241
50
0
05 May 2021
TrustyAI Explainability Toolkit
Rob Geada
Tommaso Teofili
Rui Vieira
Rebecca Whitworth
Daniele Zonca
251
2
0
26 Apr 2021
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Data mining and knowledge discovery (DMKD), 2021
Dieter Brughmans
Pieter Leyman
David Martens
237
82
0
15 Apr 2021
Does My Representation Capture X? Probe-Ably
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Deborah Ferreira
Julia Rozanova
Mokanarangan Thayaparan
Marco Valentino
André Freitas
110
12
0
12 Apr 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning
IEEE Pacific Visualization Symposium (PacificVis), 2021
Aditi Mishra
Utkarsh Soni
Jinbin Huang
Chris Bryan
OffRL
159
27
0
06 Apr 2021
Coalitional strategies for efficient individual prediction explanation
Gabriel Ferrettini
Elodie Escriva
Julien Aligon
Jean-Baptiste Excoffier
C. Soulé-Dupuy
129
22
0
01 Apr 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice
Minds and Machines (Minds Mach.), 2021
David S. Watson
Limor Gultchin
Ankur Taly
Luciano Floridi
214
70
0
27 Mar 2021
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
Chloé Bakalar
Renata Barreto
Stevie Bergman
Miranda Bogen
Bobbie Chern
...
J. Simons
Jonathan Tannen
Edmund Tong
Kate Vredenburgh
Jiejing Zhao
FaML
237
29
0
10 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications
Information Fusion (Inf. Fusion), 2021
Yu-Liang Chou
Catarina Moreira
P. Bruza
Chun Ouyang
Joaquim A. Jorge
CML
368
217
0
07 Mar 2021
WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
Bhavya Ghai
Md. Naimul Hoque
Klaus Mueller
182
28
0
05 Mar 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms
AAAI Conference on Artificial Intelligence (AAAI), 2021
Miguel Á. Carreira-Perpiñán
Suryabhan Singh Hada
CML
AAML
117
37
0
01 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Mark T. Keane
Eoin M. Kenny
Eoin Delaney
Barry Smyth
CML
296
165
0
26 Feb 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs
International Conference on Intelligent User Interfaces (IUI), 2021
Harini Suresh
Kathleen M. Lewis
John Guttag
Arvind Satyanarayan
FAtt
237
29
0
17 Feb 2021
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
Austin P. Wright
Omar Shaikh
Haekyu Park
Will Epperson
Muhammed Ahmed
Stephane Pinel
Duen Horng Chau
Diyi Yang
188
25
0
08 Feb 2021
BeFair: Addressing Fairness in the Banking Sector
Alessandro Castelnovo
Riccardo Crupi
Giulia Del Gamba
Greta Greco
A. Naseer
D. Regoli
Beatriz San Miguel González
FaML
109
19
0
03 Feb 2021
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
International Conference on Human Factors in Computing Systems (CHI), 2021
A. Ross
Nina Chen
Elisa Zhao Hang
Elena L. Glassman
Finale Doshi-Velez
298
53
0
02 Feb 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
International Conference on Human Factors in Computing Systems (CHI), 2021
H. Cheng
Logan Stapleton
Ruiqi Wang
Paige E Bullock
Alexandra Chouldechova
Zhiwei Steven Wu
Haiyi Zhu
FaML
118
76
0
01 Feb 2021
Previous
1
2
3
4
5
Next
