6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning
Benyuan Sun, Jin Dai, Zihao Liang +3
Pre-training over mixtured multi-task, multi-domain, and multi-modal data remains an open challenge in vision perception pre-training. In this paper, we propose GPPF, a General Per…
cs.CL2021★ 6 cited
Reinforcement Learning for Few-Shot Text Generation Adaptation
Pengsen Cheng, Jinqiao Dai, Jiamiao Liu +2
Controlling the generative model to adapt a new domain with limited samples is a difficult challenge and it is receiving increasing attention. Recently, methods based on meta-learn…
cs.CL2021★ 5 cited
CatVRNN: Generating Category Texts via Multi-task Learning
Pengsen Cheng, Jinqiao Dai, Jiayong Liu
Controlling the model to generate texts of different categories is a challenging task that is receiving increasing attention. Recently, generative adversarial networks (GANs) have…