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
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Aug 13, 2020
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

* ECCV 2020. The first two authors contributed equally to this work. Project page: http://spvnas.mit.edu/ 

  Access Paper or Ask Questions

Hardware-Centric AutoML for Mixed-Precision Quantization

Aug 11, 2020
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

* International Journal of Computer Vision (IJCV), 2020 
* Journal preprint of arXiv:1811.08886 (IJCV, 2020). The first three authors contributed equally to this work. Project page: https://hanlab.mit.edu/projects/haq/ 

  Access Paper or Ask Questions

Differentiable Augmentation for Data-Efficient GAN Training

Jun 18, 2020
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han


  Access Paper or Ask Questions

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

Jun 15, 2020
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han

* Accepted by CVPR 2020 

  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

Lite Transformer with Long-Short Range Attention

Apr 24, 2020
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

* ICLR 2020. The first two authors contributed equally to this work 

  Access Paper or Ask Questions

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Mar 19, 2020
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han


  Access Paper or Ask Questions

Point-Voxel CNN for Efficient 3D Deep Learning

Jul 08, 2019
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

* The first two authors contributed equally to this work 

  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

Unsupervised Discovery of Parts, Structure, and Dynamics

Mar 12, 2019
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* ICLR 2019. The first two authors contributed equally to this work 

  Access Paper or Ask Questions

HAQ: Hardware-Aware Automated Quantization

Dec 06, 2018
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

* The first three authors contributed equally to this work. Project page: https://hanlab.mit.edu/projects/haq/ 

  Access Paper or Ask Questions

Physical Primitive Decomposition

Sep 13, 2018
Zhijian Liu, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

* ECCV 2018. Project page: http://ppd.csail.mit.edu/ 

  Access Paper or Ask Questions

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Aug 26, 2018
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han


  Access Paper or Ask Questions

Machine Learning for Building Energy and Indoor Environment: A Perspective

Dec 31, 2017
Zhijian Liu, Di Wu, Hongyu Wei, Guoqing Cao

* Submitted to a Interdisciplinary Journal 

  Access Paper or Ask Questions

Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method

Oct 06, 2017
Hao Li, Zhijian Liu

* 20 pages 

  Access Paper or Ask Questions