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09/23/2022
Facilitating Change Implementation for Continuous ML-Safety Assurance
We propose a method for deploying a safety-critical machine-learning com...
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08/14/2022
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Deep learning-based video inpainting has yielded promising results and g...
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04/26/2022
Robust Audio-Visual Instance Discrimination via Active Contrastive Set Mining
The recent success of audio-visual representation learning can be largel...
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09/24/2021
Description-based Label Attention Classifier for Explainable ICD-9 Classification
ICD-9 coding is a relevant clinical billing task, where unstructured tex...
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08/03/2021
Categorical EHR Imputation with Generative Adversarial Nets
Electronic Health Records often suffer from missing data, which poses a ...
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07/26/2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
Recurrent neural network based solutions are increasingly being used in ...
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06/01/2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
Deep neural networks are increasingly being used for the analysis of med...
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09/19/2020
Introspective Learning by Distilling Knowledge from Online Self-explanation
In recent years, many explanation methods have been proposed to explain ...
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07/02/2020
