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09/05/2023
SAM-Deblur: Let Segment Anything Boost Image Deblurring
Image deblurring is a critical task in the field of image restoration, a...
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08/20/2023
Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks
Spiking neural networks (SNNs) have tremendous potential for energy-effi...
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04/26/2023
Towards clinical AI fairness: A translational perspective
Artificial intelligence (AI) has demonstrated the ability to extract ins...
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03/28/2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Discovering novel concepts from unlabelled data and in a continuous mann...
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03/01/2023
FedScore: A privacy-preserving framework for federated scoring system development
We propose FedScore, a privacy-preserving federated learning framework f...
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12/16/2022
Shapley variable importance cloud for machine learning models
Current practice in interpretable machine learning often focuses on expl...
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10/15/2022
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Objective: The proper handling of missing values is critical to deliveri...
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07/18/2022
Class-incremental Novel Class Discovery
We study the new task of class-incremental Novel Class Discovery (class-...
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06/08/2022
Balanced background and explanation data are needed in explaining deep learning models with SHAP: An empirical study on clinical decision making
Objective: Shapley additive explanations (SHAP) is a popular post-hoc te...
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04/24/2022