research
∙
06/13/2022
SmartGD: A Self-Challenging Generative Adversarial Network for Graph Drawing
A multitude of studies have been conducted on graph drawing, but many ex...
share
research
∙
03/19/2022
Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense
We proposes a novel algorithm, ANTHRO, that inductively extracts over 60...
research
∙
09/18/2021
BERT-Beta: A Proactive Probabilistic Approach to Text Moderation
Text moderation for user generated content, which helps to promote healt...
research
∙
08/18/2021
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity
Coming up with effective ad text is a time consuming process, and partic...
research
∙
06/27/2021
DeepGD: A Deep Learning Framework for Graph Drawing Using GNN
In the past decades, many graph drawing techniques have been proposed fo...
research
∙
12/19/2020
Political Posters Identification with Appearance-Text Fusion
In this paper, we propose a method that efficiently utilizes appearance ...
research
∙
10/17/2020