11 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CL2024
GRIN: GRadient-INformed MoE
Liyuan Liu, Young Jin Kim, Shuohang Wang +14
Mixture-of-Experts (MoE) models scale more effectively than dense models due to sparse computation through expert routing, selectively activating only a small subset of expert modu…
cs.CV2018★ 11 cited
Visual Data Synthesis via GAN for Zero-Shot Video Classification
Chenrui Zhang, Yuxin Peng
Zero-Shot Learning (ZSL) in video classification is a promising research direction, which aims to tackle the challenge from explosive growth of video categories. Most existing meth…
cs.CV2018★ 2 cited
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification
Chenrui Zhang, Yuxin Peng
Video representation learning is a vital problem for classification task. Recently, a promising unsupervised paradigm termed self-supervised learning has emerged, which explores in…