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Improving Bayesian Inference in Deep Neural Networks with Variational Structured Dropout
Approximate inference in deep Bayesian networks exhibits a dilemma of ho...
02/16/2021 ∙ by Son Nguyen, et al. ∙
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Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Relational regularized autoencoder (RAE) is a framework to learn the dis...
10/05/2020 ∙ by Khai Nguyen, et al. ∙
3
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Control Framework for a Hybrid-steel Bridge Inspection Robot
Autonomous navigation of steel bridge inspection robots is essential for...
09/01/2020 ∙ by Hoang-Dung Bui, et al. ∙
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Configuration-dependent Fault Localization
In a buggy configurable system, configuration-dependent bugs cause the f...
11/18/2019 ∙ by Son Nguyen, et al. ∙
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Combining Program Analysis and Statistical Language Model for Code Statement Completion
Automatic code completion helps improve developers' productivity in thei...
11/18/2019 ∙ by Son Nguyen, et al. ∙
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Feature-Interaction Aware Configuration Prioritization for Configurable Code
Unexpected interactions among features induce most bugs in a configurabl...
11/18/2019 ∙ by Son Nguyen, et al. ∙
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Does BLEU Score Work for Code Migration?
Statistical machine translation (SMT) is a fast-growing sub-field of com...
06/12/2019 ∙ by Ngoc Tran, et al. ∙
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Recovering Variable Names for Minified Code with Usage Contexts
In modern Web technology, JavaScript (JS) code plays an important role. ...
06/08/2019 ∙ by Hieu Tran, et al. ∙
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