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04/06/2023
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization
Automated machine learning (AutoML) methods improve upon existing models...
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01/13/2023
Efficient Activation Function Optimization through Surrogate Modeling
Carefully designed activation functions can improve the performance of n...
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09/18/2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks
Neural networks require careful weight initialization to prevent signals...
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06/05/2020
Discovering Parametric Activation Functions
Recent studies have shown that the choice of activation function can sig...
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02/17/2020
Evolutionary Optimization of Deep Learning Activation Functions
The choice of activation function can have a large effect on the perform...
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06/08/2019
Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations
In this paper, we propose to boost low-resource cross-lingual document r...
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11/15/2018
Preliminary Studies on a Large Face Database
We perform preliminary studies on a large longitudinal face database MOR...
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11/02/2017