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08/22/2023
Variational Density Propagation Continual Learning
Deep Neural Networks (DNNs) deployed to the real world are regularly sub...
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06/29/2023
Deep Ensemble for Rotorcraft Attitude Prediction
Historically, the rotorcraft community has experienced a higher fatal ac...
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06/29/2023
The Importance of Robust Features in Mitigating Catastrophic Forgetting
Continual learning (CL) is an approach to address catastrophic forgettin...
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06/22/2023
Targeted Background Removal Creates Interpretable Feature Visualizations
Feature visualization is used to visualize learned features for black bo...
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03/22/2023
Revisiting the Fragility of Influence Functions
In the last few years, many works have tried to explain the predictions ...
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03/15/2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models
The expansion of explainable artificial intelligence as a field of resea...
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03/11/2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review
Cancer has relational information residing at varying scales, modalities...
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02/01/2023
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection
The quality and richness of feature maps extracted by convolution neural...
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11/10/2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks
Learning in uncertain, noisy, or adversarial environments is a challengi...
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11/10/2021
Self-Compression in Bayesian Neural Networks
Machine learning models have achieved human-level performance on various...
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08/15/2021
Dilated Inception U-Net (DIU-Net) for Brain Tumor Segmentation
Magnetic resonance imaging (MRI) is routinely used for brain tumor diagn...
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07/23/2021
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
With the rise of deep neural networks, the challenge of explaining the p...
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06/30/2021
