1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2023
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang +2
Real-world scenarios are usually accompanied by continuously appearing classes with scare labeled samples, which require the machine learning model to incrementally learn new class…
cs.LG2023
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Yi-Kai Zhang, Lu Ren, Chao Yi +3
The rapid expansion of foundation pre-trained models and their fine-tuned counterparts has significantly contributed to the advancement of machine learning. Leveraging pre-trained…
cs.IR2023★ 1 cited
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
Qi-Wei Wang, Hongyu Lu, Yu Chen +4
The Click-Through Rate (CTR) prediction task is critical in industrial recommender systems, where models are usually deployed on dynamic streaming data in practical applications. S…