Xinjie Fan | DeepAI

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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...

0 Shujian Zhang, et al. ∙

∙ 06/09/2021

Bayesian Attention Belief Networks

Attention-based neural networks have achieved state-of-the-art results o...

0 Shujian Zhang, et al. ∙

∙ 06/01/2021

Adversarially Adaptive Normalization for Single Domain Generalization

Single domain generalization aims to learn a model that performs well on...

8 Xinjie Fan, et al. ∙

∙ 03/06/2021

Contextual Dropout: An Efficient Sample-Dependent Dropout Module

Dropout has been demonstrated as a simple and effective module to not on...

28 Xinjie Fan, et al. ∙

∙ 10/20/2020

Bayesian Attention Modules

Attention modules, as simple and effective tools, have not only enabled ...

0 Xinjie Fan, et al. ∙

∙ 09/29/2020

Attention that does not Explain Away

Models based on the Transformer architecture have achieved better accura...

0 Nan Ding, et al. ∙

∙ 12/31/2019

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation

Sequence generation models are commonly refined with reinforcement learn...

21 Xinjie Fan, et al. ∙

∙ 10/17/2019

A Unified Framework for Tuning Hyperparameters in Clustering Problems

Selecting hyperparameters for unsupervised learning problems is difficul...

57 Xinjie Fan, et al. ∙

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