9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.IR2026
DeRes: Decoupling Residual Stability and Adaptivity for Scalable CTR Prediction
Wenzhuo Cheng, Shipeng Nie, Qixin Guo +3
Transformer-based CTR models face a growing bottleneck at the residual connection: under Pre-Norm, early user-interest signals are diluted layer by layer; the identity skip cannot…
cs.IR2022★ 9 cited
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction
Pengtao Zhang, Zheng Zheng, Junlin Zhang
Click-Through Rate (CTR) estimation has become one of the most fundamental tasks in many real-world applications and various deep models have been proposed. Some research has prove…