D2GCLF: Document-to-Graph Classifier for Legal Document Classification

no code implementations • Findings (NAACL) 2022 • Qiqi Wang, Kaiqi Zhao, Robert Amor, Benjamin Liu, Ruofan Wang

We propose a Document-to-Graph Classifier (D2GCLF), which extracts facts as relations between key participants in the law case and represents a legal document with four relation graphs.

Classification Document Classification +2

LiMAML: Personalization of Deep Recommender Models via Meta Learning

no code implementations • 23 Feb 2024 • Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi, Ajith Muralidharan

In the realm of recommender systems, the ubiquitous adoption of deep neural networks has emerged as a dominant paradigm for modeling diverse business objectives.

Meta-Learning Recommendation Systems

Understanding Time Series Anomaly State Detection through One-Class Classification

no code implementations • 3 Feb 2024 • Hanxu Zhou, Yuan Zhang, Guangjie Leng, Ruofan Wang, Zhi-Qin John Xu

Therefore, in this article, we try to re-understand and define the time series anomaly detection problem through OCC, which we call 'time series anomaly state detection problem'.

One-Class Classification Time Series +2