Adversarial examples, deliberately crafted using small perturbations to ...
Anomaly detection plays an increasingly important role in various fields...
Differentially Private Stochastic Gradient Descent (DP-SGD) is a key met...
Although deep neural networks have achieved state-of-the-art performance...
Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) a...
Many recent studies have shown that deep neural models are vulnerable to...
Authorship attribution is the process of identifying the author of a tex...
While most image captioning aims to generate objective descriptions of
i...
Benefiting from advances in machine vision and natural language processi...
We address the problem of how to "obfuscate" texts by removing stylistic...
There has been much recent work on image captioning models that describe...
Engagement is a key indicator of the quality of learning experience, and...
Engagement is a key indicator of the quality of learning experience, and...
Image captioning is the process of generating a natural language descrip...
The problem of obfuscating the authorship of a text document has receive...
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NL...
This paper presents an empirical comparison of two strategies for Vietna...
We propose a novel approach to Vietnamese word segmentation. Our approac...
We present a novel neural network model that learns POS tagging and
grap...
Ensemble methods using multiple classifiers have proven to be the most
s...
This paper presents an empirical comparison of different dependency pars...
This paper presents a number of experiments to model changes in a histor...