62 citations · 68 across the 4 of their papers we have counts for
4 papers
What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning
Hanbin Zhao, Hao Zeng, Xin Qin +4
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain…
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar, Xi Li, Bourahla Omar
The Generative Models have gained considerable attention in the field of unsupervised learning via a new and practical framework called Generative Adversarial Networks (GAN) due to…
Epoch-evolving Gaussian Process Guided Learning
Jiabao Cui, Xuewei Li, Bin Li +3
In this paper, we propose a novel learning scheme called epoch-evolving Gaussian Process Guided Learning (GPGL), which aims at characterizing the correlation information between th…
ResKD: Residual-Guided Knowledge Distillation
Xuewei Li, Songyuan Li, Bourahla Omar +2
Knowledge distillation, aimed at transferring the knowledge from a heavy teacher network to a lightweight student network, has emerged as a promising technique for compressing neur…