Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Fuchao Wei

Fuchao Wei
Alert button

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models


Mar 15, 2022
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Add code
Alert button

Figure 1 for Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Figure 2 for Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Figure 3 for Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Figure 4 for Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
* 49 pages 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Stochastic Anderson Mixing for Nonconvex Stochastic Optimization


Oct 04, 2021
Fuchao Wei, Chenglong Bao, Yang Liu

Add code
Alert button

Figure 1 for Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Figure 2 for Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Figure 3 for Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Figure 4 for Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
* Accepted by the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email