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10/06/2022
Towards Out-of-Distribution Adversarial Robustness
Adversarial robustness continues to be a major challenge for deep learni...
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09/30/2022
Learning Robust Kernel Ensembles with Kernel Average Pooling
Model ensembles have long been used in machine learning to reduce the va...
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06/08/2020
Adversarial Feature Desensitization
Deep neural networks can now perform many tasks that were once thought t...
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09/13/2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Deep convolutional artificial neural networks (ANNs) are the leading cla...
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04/19/2019
Continual Learning with Self-Organizing Maps
Despite remarkable successes achieved by modern neural networks in a wid...
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08/04/2018
Teacher Guided Architecture Search
Strong improvements in network performance in vision tasks have resulted...
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05/28/2018
A Neurobiological Cross-domain Evaluation Metric for Predictive Coding Networks
Achieving a good measure of model generalization remains a challenge wit...
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12/01/2017
Learning Neural Markers of Schizophrenia Disorder Using Recurrent Neural Networks
Smart systems that can accurately diagnose patients with mental disorder...
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02/02/2016