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10/25/2021
Alignment Attention by Matching Key and Query Distributions
The neural attention mechanism has been incorporated into deep neural ne...
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06/09/2021
Bayesian Attention Belief Networks
Attention-based neural networks have achieved state-of-the-art results o...
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06/01/2021
Adversarially Adaptive Normalization for Single Domain Generalization
Single domain generalization aims to learn a model that performs well on...
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03/06/2021
Contextual Dropout: An Efficient Sample-Dependent Dropout Module
Dropout has been demonstrated as a simple and effective module to not on...
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10/20/2020
Bayesian Attention Modules
Attention modules, as simple and effective tools, have not only enabled ...
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09/29/2020
Attention that does not Explain Away
Models based on the Transformer architecture have achieved better accura...
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12/31/2019
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
Sequence generation models are commonly refined with reinforcement learn...
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10/17/2019
