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

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
IOS: Inter-Operator Scheduler for CNN Acceleration

Nov 02, 2020
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han


  Access Paper or Ask Questions

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning

Jul 28, 2020
Han Cai, Chuang Gan, Ligeng Zhu, Song Han


  Access Paper or Ask Questions

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

May 28, 2020
Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

* Accepted to ACL 2020. 14 pages, 12 figures. Code available at http://github.com/mit-han-lab/hardware-aware-transformers.git 

  Access Paper or Ask Questions

Deep Leakage from Gradients

Jun 21, 2019
Ligeng Zhu, Zhijian Liu, Song Han


  Access Paper or Ask Questions

Design Automation for Efficient Deep Learning Computing

Apr 24, 2019
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin


  Access Paper or Ask Questions

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Dec 02, 2018
Han Cai, Ligeng Zhu, Song Han

* Submitted to ICLR 2019 

  Access Paper or Ask Questions

Sparsely Aggregated Convolutional Networks

Apr 16, 2018
Ligeng Zhu, Ruizhi Deng, Michael Maire, Zhiwei Deng, Greg Mori, Ping Tan


  Access Paper or Ask Questions

Learning to Forecast Videos of Human Activity with Multi-granularity Models and Adaptive Rendering

Dec 05, 2017
Mengyao Zhai, Jiacheng Chen, Ruizhi Deng, Lei Chen, Ligeng Zhu, Greg Mori


  Access Paper or Ask Questions