3 papers
cs.LG2025
Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
Tengda Tang, Jianhua Yao, Yixian Wang +3
This study proposes an algorithm for detecting suspicious behaviors in large payment flows based on deep generative models. By combining Generative Adversarial Networks (GAN) and V…
cs.LG2025
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data
Qiuliuyang Bao, Jiawei Wang, Hao Gong +3
This paper proposes an algorithm based on a staged sliding window Transformer architecture to detect abnormal behaviors in the microstructure of the foreign exchange market, focusi…
cs.LG2024
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
Hao Feng, Boyuan Zhang, Fanjiang Ye +9
DLRM is a state-of-the-art recommendation system model that has gained widespread adoption across various industry applications. The large size of DLRM models, however, necessitate…