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Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations
  for Vision Foundation Models

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

18 June 2024
Hengyi Wang
Shiwei Tan
Hao Wang
    BDL
ArXivPDFHTML

Papers citing "Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models"

4 / 4 papers shown
Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
H. Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDL
UQLM
93
6
0
28 Jan 2025
Towards Domain Adaptive Neural Contextual Bandits
Towards Domain Adaptive Neural Contextual Bandits
Ziyan Wang
Hao Wang
Hao Wang
32
0
0
13 Jun 2024
Post-hoc Concept Bottleneck Models
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul
Maggie Wang
James Y. Zou
130
182
0
31 May 2022
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A
  Stakeholder Perspective on XAI and a Conceptual Model Guiding
  Interdisciplinary XAI Research
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
32
301
0
15 Feb 2021
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