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

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs



Taebum Kim , Eunji Jeong , Geon-Woo Kim , Yunmo Koo , Sehoon Kim , Gyeong-In Yu , Byung-Gon Chun

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021) 

   Access Paper or Ask Questions

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning



Woosuk Kwon , Gyeong-In Yu , Eunji Jeong , Byung-Gon Chun

* In NeurIPS 2020 

   Access Paper or Ask Questions

A Tensor Compiler for Unified Machine Learning Prediction Serving



Supun Nakandala , Karla Saur , Gyeong-In Yu , Konstantinos Karanasos , Carlo Curino , Markus Weimer , Matteo Interlandi


   Access Paper or Ask Questions

Accelerating Multi-Model Inference by Merging DNNs of Different Weights



Joo Seong Jeong , Soojeong Kim , Gyeong-In Yu , Yunseong Lee , Byung-Gon Chun


   Access Paper or Ask Questions

Stage-based Hyper-parameter Optimization for Deep Learning



Ahnjae Shin , Dong-Jin Shin , Sungwoo Cho , Do Yoon Kim , Eunji Jeong , Gyeong-In Yu , Byung-Gon Chun

* Workshop on Systems for ML at NeurIPS 2019 

   Access Paper or Ask Questions

Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach



Gyeong-In Yu , Saeed Amizadeh , Artidoro Pagnoni , Byung-Gon Chun , Markus Weimer , Matteo Interlandi


   Access Paper or Ask Questions

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs



Eunji Jeong , Sungwoo Cho , Gyeong-In Yu , Joo Seong Jeong , DongJin Shin , Byung-Gon Chun

* NSDI 2019 
* To appear at NSDI 2019 

   Access Paper or Ask Questions

Improving the Expressiveness of Deep Learning Frameworks with Recursion



Eunji Jeong , Joo Seong Jeong , Soojeong Kim , Gyeong-In Yu , Byung-Gon Chun

* EuroSys 2018: Thirteenth EuroSys Conference, April 23-26, 2018, Porto, Portugal 
* Appeared in EuroSys 2018. 13 pages, 11 figures 

   Access Paper or Ask Questions