Search Results for author: Kamran Alipour

Found 7 papers, 0 papers with code

Combining Counterfactuals With Shapley Values To Explain Image Models

no code implementations14 Jun 2022 Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi

With the widespread use of sophisticated machine learning models in sensitive applications, understanding their decision-making has become an essential task.

Decision Making

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces

no code implementations10 Jun 2022 Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael Pazzani

Despite their high accuracies, modern complex image classifiers cannot be trusted for sensitive tasks due to their unknown decision-making process and potential biases.

Decision Making

Improving Users' Mental Model with Attention-directed Counterfactual Edits

no code implementations13 Oct 2021 Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas

In the domain of Visual Question Answering (VQA), studies have shown improvement in users' mental model of the VQA system when they are exposed to examples of how these systems answer certain Image-Question (IQ) pairs.

Question Answering Retrieval +2

The Impact of Explanations on AI Competency Prediction in VQA

no code implementations2 Jul 2020 Kamran Alipour, Arijit Ray, Xiao Lin, Jurgen P. Schulze, Yi Yao, Giedrius T. Burachas

In this paper, we evaluate the impact of explanations on the user's mental model of AI agent competency within the task of visual question answering (VQA).

Language Modelling Question Answering +2

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