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Mitigating belief projection in explainable artificial intelligence via
  Bayesian Teaching

Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching

7 February 2021
Scott Cheng-Hsin Yang
Wai Keen Vong
Ravi B. Sojitra
Tomas Folke
Patrick Shafto
ArXivPDFHTML

Papers citing "Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching"

13 / 13 papers shown
Title
How explainable AI affects human performance: A systematic review of the
  behavioural consequences of saliency maps
How explainable AI affects human performance: A systematic review of the behavioural consequences of saliency maps
Romy Müller
HAI
47
6
0
03 Apr 2024
On a Combinatorial Problem Arising in Machine Teaching
On a Combinatorial Problem Arising in Machine Teaching
Brigt Håvardstun
Jan Kratochvíl
Joakim Sunde
Jan Arne Telle
11
4
0
07 Feb 2024
When Redundancy Matters: Machine Teaching of Representations
When Redundancy Matters: Machine Teaching of Representations
Cèsar Ferri
Darío Garigliotti
Brigt Håvardstun
Josè Hernández-Orallo
Jan Arne Telle
19
3
0
23 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User
  Expertise
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
34
0
0
19 Dec 2023
Scaling Up Bayesian Neural Networks with Neural Networks
Scaling Up Bayesian Neural Networks with Neural Networks
Zahra Moslemi
Yang Meng
Shiwei Lan
Babak Shahbaba
BDL
22
1
0
19 Dec 2023
Towards Human-centered Explainable AI: A Survey of User Studies for
  Model Explanations
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations
Yao Rong
Tobias Leemann
Thai-trang Nguyen
Lisa Fiedler
Peizhu Qian
Vaibhav Unhelkar
Tina Seidel
Gjergji Kasneci
Enkelejda Kasneci
ELM
39
92
0
20 Oct 2022
A Psychological Theory of Explainability
A Psychological Theory of Explainability
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
XAI
FAtt
61
16
0
17 May 2022
Explainable AI for Natural Adversarial Images
Explainable AI for Natural Adversarial Images
Tomas Folke
Zhaobin Li
Ravi B. Sojitra
Scott Cheng-Hsin Yang
Patrick Shafto
AAML
FAtt
22
4
0
16 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses
  with Bayesian Teaching
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching
Tomas Folke
Scott Cheng-Hsin Yang
S. Anderson
Patrick Shafto
16
19
0
08 Jun 2021
Abstraction, Validation, and Generalization for Explainable Artificial
  Intelligence
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence
Scott Cheng-Hsin Yang
Tomas Folke
Patrick Shafto
21
5
0
16 May 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray L. Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OOD
BDL
UQCV
29
610
0
14 Jul 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
889
0
11 Nov 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,696
0
28 Feb 2017
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