GAN based Data Augmentation to Resolve Class Imbalance

no code implementations • 12 Jun 2022 • Sairamvinay Vijayaraghavan, Terry Guan, Jason, Song

The number of credit card fraud has been growing as technology grows and people can take advantage of it.

Data Augmentation Generative Adversarial Network

Deep Reinforcement Learning for Personalized Search Story Recommendation

no code implementations • 26 Jul 2019 • Jason, Zhang, Junming Yin, Dongwon Lee, Linhong Zhu

In recent years, \emph{search story}, a combined display with other organic channels, has become a major source of user traffic on platforms such as e-commerce search platforms, news feed platforms and web and image search platforms.

Image Retrieval Imitation Learning +2

Machine Learning Based Detection of Clickbait Posts in Social Media

no code implementations • 5 Oct 2017 • Xinyue Cao, Thai Le, Jason, Zhang

In this paper, we make use of a dataset from the clickbait challenge 2017 (clickbait-challenge. com) comprising of over 21, 000 headlines/titles, each of which is annotated by at least five judgments from crowdsourcing on how clickbait it is.

BIG-bench Machine Learning Clickbait Detection