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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism


Nov 25, 2022
Xupeng Miao, Yujie Wang, Youhe Jiang, Chunan Shi, Xiaonan Nie, Hailin Zhang, Bin Cui

Add code

* VLDB 2023 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training


Nov 21, 2022
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

Add code

* Code and models shall be released at https://github.com/YangLing0818/SGDiff 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Efficient Graph Neural Network Inference at Large Scale


Nov 05, 2022
Xinyi Gao, Wentao Zhang, Yingxia Shao, Quoc Viet Hung Nguyen, Bin Cui, Hongzhi Yin

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Distributed Graph Neural Network Training: A Survey


Nov 01, 2022
Yingxia Shao, Hongzheng Li, Xizhi Gu, Hongbo Yin, Yawen Li, Xupeng Miao, Wentao Zhang, Bin Cui, Lei Chen

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

CALIP: Zero-Shot Enhancement of CLIP with Parameter-free Attention


Sep 28, 2022
Ziyu Guo, Renrui Zhang, Longtian Qiu, Xianzheng Ma, Xupeng Miao, Xuming He, Bin Cui

Add code

* 12 pages, 6 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Diffusion Models: A Comprehensive Survey of Methods and Applications


Sep 15, 2022
Ling Yang, Zhilong Zhang, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

Add code

* 33 pages, citing 255 papers, project: https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates


Jul 29, 2022
Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui

Add code

* VLDB 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Efficient End-to-End AutoML via Scalable Search Space Decomposition


Jun 24, 2022
Yang Li, Yu Shen, Wentao Zhang, Ce Zhang, Bin Cui

Add code

* VLDB Journal, 2022 
* This paper is an extended version of the initial VolcanoML paper (li et al. VLDB 2021). arXiv admin note: substantial text overlap with arXiv:2107.08861 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning


Jun 17, 2022
Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Add code

* ICML 2022 
* 17 pages, 8 figures 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
6
>>