29 citations · 29 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Ke Song, Quan Xia, Guoqiang Liang +2
Non-exemplar class-incremental learning refers to classifying new and old classes without storing samples of old classes. Since only new class samples are available for optimizatio…
cs.CL2022★ 29 cited
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Yun He, Huaixiu Steven Zheng, Yi Tay +9
Prompt-Tuning is a new paradigm for finetuning pre-trained language models in a parameter-efficient way. Here, we explore the use of HyperNetworks to generate hyper-prompts: we pro…
stat.ML2018
Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction
Chenglei Niu, Guojing Zhong, Ying Liu +4
With the rapid development of online advertising and recommendation systems, click-through rate prediction is expected to play an increasingly important role.Recently many DNN-base…