Kai Zou

most citedM

^{3}

ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

33 citations · 33 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 33 cited

M $^{3}$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Hanxue Liang, Zhiwen Fan, Rishov Sarkar +6

Multi-task learning (MTL) encapsulates multiple learned tasks in a single model and often lets those tasks learn better jointly. However, when deploying MTL onto those real-world s…

cs.CV2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

Daizong Liu, Xiaoye Qu, Yinzhen Wang +5

Temporal video grounding (TVG) aims to localize a target segment in a video according to a given sentence query. Though respectable works have made decent achievements in this task…

cs.CL2019

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Jason Wei, Kai Zou

We present EDA: easy data augmentation techniques for boosting performance on text classification tasks. EDA consists of four simple but powerful operations: synonym replacement, r…

M3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

M $^{3}$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design