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03/16/2023
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment
AI-driven Action Quality Assessment (AQA) of sports videos can mimic Oly...
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02/19/2023
RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions
Generative AI models have shown impressive ability to produce images wit...
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02/02/2023
Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses
Many visualizations have been developed for explainable AI (XAI), but th...
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02/15/2022
IF-City: Intelligible Fair City Planning to Measure, Explain and Mitigate Inequality
With the increasing pervasiveness of Artificial Intelligence (AI), many ...
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01/30/2022
Debiased-CAM to mitigate systematic error with faithful visual explanations of machine learning
Model explanations such as saliency maps can improve user trust in AI by...
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12/28/2021
Towards Relatable Explainable AI with the Perceptual Process
Machine learning models need to provide contrastive explanations, since ...
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09/21/2021
SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations
Self-tracking can improve people's awareness of their unhealthy behavior...
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09/21/2021
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
Feedback can help crowdworkers to improve their ideations. However, curr...
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04/26/2021
Exploiting Explanations for Model Inversion Attacks
The successful deployment of artificial intelligence (AI) in many domain...
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01/23/2021
Show or Suppress? Managing Input Uncertainty in Machine Learning Model Explanations
Feature attribution is widely used in interpretable machine learning to ...
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01/15/2021
Directed Diversity: Leveraging Language Embedding Distances for Collective Creativity in Crowd Ideation
Crowdsourcing can collect many diverse ideas by prompting ideators indiv...
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12/10/2020
