|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
No Growbag Graphs found.
|
|
|
|
|
Results
Found 28 publication records. Showing 28 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Alexandru A. Ormenisan, Moritz Meister, Fabio Buso, Robin Andersson, Seif Haridi, Jim Dowling |
Time Travel and Provenance for Machine Learning Pipelines.  |
OpML  |
2020 |
DBLP BibTeX RDF |
|
| 1 | Jiawen Liu, Zhen Xie, Dimitrios S. Nikolopoulos, Dong Li 0001 |
RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Thomas Rausch, Waldemar Hummer, Vinod Muthusamy |
An Experimentation and Analytics Framework for Large-Scale AI Operations Platforms. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Lisa Veiber, Kevin Allix, Yusuf Arslan, Tegawendé F. Bissyandé, Jacques Klein |
Challenges Towards Production-Ready Explainable Machine Learning. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Nisha Talagala, Joel Young (eds.) |
2020 USENIX Conference on Operational Machine Learning, OpML 2020, July 28 - August 7, 2020. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Fabio Casati, Veeru Metha, Gopal Sarda, Sagar Davasam, Kannan Govindarajan |
Detecting Feature Eligibility Illusions in Enterprise AI Autopilots. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Edward Verenich, Alvaro Velasquez, M. G. Sarwar Murshed, Faraz Hussain 0001 |
FlexServe: Deployment of PyTorch Models as Flexible REST Endpoints. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Abdul Dakkak, Cheng Li 0014, Jinjun Xiong, Wen-mei W. Hwu |
DLSpec: A Deep Learning Task Exchange Specification. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Chandra Mohan Meena, Sarwesh Suman, Vijay Agneeswaran |
Finding Bottleneck in Machine Learning Model Life Cycle. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Amitabha Banerjee, Chien-Chia Chen, Chien-Chun Hung, Xiaobo Huang, Yifan Wang, Razvan Chevesaran |
Challenges and Experiences with MLOps for Performance Diagnostics in Hybrid-Cloud Enterprise Software Deployments. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Shunya Ueta, Suganprabu Nagaraja, Mizuki Sango |
Auto Content Moderation in C2C e-Commerce. |
OpML |
2020 |
DBLP BibTeX RDF |
|
| 1 | Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi |
Transfer Learning for Performance Modeling of Deep Neural Network Systems. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Hidehito Yabuuchi, Daisuke Taniwaki, Shingo Omura |
Low-latency Job Scheduling with Preemption for the Development of Deep Learning. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Bharath Ramsundar, Nisha Talagala (eds.) |
2019 USENIX Conference on Operational Machine Learning, OpML 2019, Santa Clara, CA, USA, May 20, 2019. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr V. Kindratenko, Roy H. Campbell |
tensorflow-tracing: A Performance Tuning Framework for Production. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar 0001, Yi Zhou 0015, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng 0001 |
Towards Taming the Resource and Data Heterogeneity in Federated Learning. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Rajagopal Ananthanarayanan, Peter Brandt, Manasi Joshi, Maheswaran Sathiamoorthy |
Opportunities and Challenges Of Machine Learning Accelerators In Production. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He |
Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Anthony Hsu, Keqiu Hu, Jonathan Hung, Arun Suresh, Zhe Zhang |
TonY: An Orchestrator for Distributed Machine Learning Jobs. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ken Yocum, Sean Rowan, Jonathan Lunt, Theodore M. Wong |
Disdat: Bundle Data Management for Machine Learning Pipelines. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Junsung Lim, Hoejoo Lee, Youngmin Won, Hunje Yeon |
MLOp Lifecycle Scheme for Vision-based Inspection Process in Manufacturing. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Mewald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich |
Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Ankit Arun, Ignacio Arnaldo |
Shooting the moving target: machine learning in cybersecurity. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Sindhu Ghanta, Sriram Subramanian, Lior Khermosh, Harshil Shah, Yakov Goldberg, Swaminathan Sundararaman, Drew S. Roselli, Nisha Talagala |
MPP: Model Performance Predictor. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao 0002, Ming Zhao 0002 |
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jinan Zhou, Andrey Velichkevich, Kirill Prosvirov, Anubhav Garg, Yuji Oshima, Debo Dutta |
Katib: A Distributed General AutoML Platform on Kubernetes. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Jonathan Soifer, Jason Li, Mingqin Li, Jeffrey Zhu, Yingnan Li, Yuxiong He, Elton Zheng, Adi Oltean, Maya Mosyak, Chris Barnes, Thomas Liu, Junhua Wang |
Deep Learning Inference Service at Microsoft. |
OpML |
2019 |
DBLP BibTeX RDF |
|
| 1 | Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Aniruddha Gokhale, Thomas Damiano |
Stratum: A Serverless Framework for the Lifecycle Management of Machine Learning-based Data Analytics Tasks. |
OpML |
2019 |
DBLP BibTeX RDF |
|
Displaying result #1 - #28 of 28 (100 per page; Change: )
|
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")
data released under the ODC-BY 1.0 license