OpML '19: 2019 USENIX Conference on Operational Machine... has ended

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OpML '19: 2019 USENIX Conference on Operational Machine Learning

10:30am PDT

MLOp Lifecycle Scheme for Vision-based Inspection Process in Manufacturing Stevens Creek RoomJunsung Lim • Hoejoo Lee • Youngmin Won • Hunje Yeon Opportunities and Challenges Of Machine Learning Accelerators In Production Winchester RoomRajagopal Ananthanarayanan • Peter Brandt • Maheswaran Sathiamoorthy • Manasi Joshi

10:50am PDT

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft Winchester RoomMinjia Zhang • Samyam Rajbandari • Wenhan Wang • Elton Zheng • Olatunji Ruwase • Jeff Rasley • Jason Li • Junhua Wang • Yuxiong He

11:50am PDT

Shooting the Moving Target: Machine Learning in Cybersecurity Stevens Creek RoomAnkit Arun • Ignacio Arnaldo

12:10pm PDT

Deep Learning Inference Service at Microsoft Stevens Creek RoomJonathan Soifer • Jason Li • Mingqin Li • Jeffrey Zhu • Yingnan Li • Yuxiong He • Elton Zheng • Adi Oltean • Maya Mosyak • Chris Barnes • Thomas Liu • Junhua Wang

1:50pm PDT

Towards Taming the Resource and Data Heterogeneity in Federated Learning Stevens Creek RoomZheng Chai • Hannan Fayyaz • Zeshan Fayyaz • Ali Anwar • Yi Zhou • Nathalie Baracaldo • Heiko Ludwig • Yue Cheng

2:50pm PDT

MPP: Model Performance Predictor Stevens Creek RoomSindhu Ghanta • Sriram Subramanian • Lior Khermosh • Harshil Shah • Yakov Goldberg • Swaminathan Sundararaman • Drew Roselli • Nisha Talagala

4:00pm PDT

KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks Stevens Creek RoomSaman Biookaghazadeh • Yitao Chen • Kaiqi Zhao • Ming Zhao Low-latency Job Scheduling with Preemption for the Development of Deep Learning Lawrence/San Tomas/Lafayette RoomsHidehito Yabuuchi • Daisuke Taniwaki • Shingo Omura

4:20pm PDT

Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform Stevens Creek RoomDenis Baylor • Kevin Haas • Konstantinos (Gus) Katsiapis • Sammy Leong • Rose Liu • Clemens Menwald • Hui Miao • Neoklis Polyzotis • Mitchell Trott • Martin Zinkevich tensorflow-tracing: A Performance Tuning Framework for Production Lawrence/San Tomas/Lafayette RoomsSayed Hadi Hashemi • Paul Rausch • Benjamin Rabe • Kuan-Yen Chou • Simeng Liu • Volodymyr Kindratenko • Roy H Campbell

5:00pm PDT

Disdat: Bundle Data Management for Machine Learning Pipelines Lawrence/San Tomas/Lafayette RoomsSean Rowan • Jonathan Lunt • Theodore M. Wong • Ken Yocum Katib: A Distributed General AutoML Platform Based on Kubernetes Stevens Creek RoomJinan Zhou • Andrey Velichkevich • Kirill Prosvirov • Anubhav Grag • Yuji Oshima • Debo Dutta

5:20pm PDT

TonY: An Orchestrator for Distributed Machine Learning Jobs Lawrence/San Tomas/Lafayette RoomsAnthony Hsu • Keqiu Hu • Jonathan Hung • Arun Suresh • Zhe Zhang

5:40pm PDT

Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks Stevens Creek RoomAnirban Bhattacharjee • Yogesh Barve • Shweta Khare • Shunxing Bao • Aniruddha Gokhale • Thomas Damiano Transfer Learning for Performance Modeling of Deep Neural Network System Lawrence/San Tomas/Lafayette RoomsMd Shahriar Iqbal • Lars Kotthoff • Pooyan Jamshidi