Mission Statement
The non-profit corporation that runs MLSys aims to foster the exchange of research advances at the intersection of machine learning and systems, principally by hosting an annual interdisciplinary academic conference with the highest ethical standards for a diverse and inclusive community.
Schedule (Incomplete)
About the Conference
The MLSys community recognized that many critical future challenges are at the intersection of Machine Learning and Systems. The community was created to solve these exciting problems by recognizing the needs for scaling interdisciplinary collaboration as well as the importance of working together between industry and academia.
The community has come together to create a new conference for research spanning ML and systems, MLSys. The goal is to make a home for exceptional new research, a venue to showcase the growing trend, and more importantly a way to scale ever more complex research collaboration.
The steering committee and program committees consist of 50 leading members of emerging machine learning systems area coming from industry and academia with expertise ranging from machine learning to systems to security. The MLSys community welcomes industry participation and sponsorships, we believe the investment will pay dividend in both technology advancement and industry growth for years to come.
Conference Overview
The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows. Topics include:
| - Efficient model training, inference, and serving | - Distributed and parallel learning algorithms |
| - Privacy and security for ML applications | - Testing, debugging, and monitoring of ML applications |
| - Fairness, interpretability and explainability for ML applications | - Data preparation, feature selection, and feature extraction |
| - ML programming models and abstractions | - ML compilers and runtime |
| - Programming languages for machine learning | - Visualization of data, models, and predictions |
| - Specialized hardware for machine learning | - Hardware-efficient ML methods |
| - Machine Learning for Systems | - Systems for Machine Learning |
Important Dates
| Conference Sessions | Mon Apr 11th through Thu the 14th |
| Paper Submission deadline (extended from the 8th) | Oct 15 '21 08:00 PM UTC * | |
| Workshop Application Opens | Oct 28 '21 12:00 AM UTC * | |
| SponsorPortalOpen | Nov 10 '21 07:07 PM UTC * | |
| Workshop Application Close | Nov 25 '21 01:00 AM UTC * | |
| Workshop Notifications | Dec 06 '21 01:00 AM UTC * | |
| Paper Decision Notification | Jan 15 '22 07:00 AM UTC * | |
| Workshop Submission Deadline (for workshop paper submissions) | Jan 17 '22 08:00 AM UTC * | |
| Workshop Submission Notifications (for workshop paper submissions) | Feb 04 '22 08:00 AM UTC * | |
| Registration Opens | Feb 06 '22 09:00 PM UTC * | |
| Early pricing before this date. | Feb 28 '22 09:00 PM UTC * | |
| CameraReadyDeadline | Mar 04 '22 09:00 PM UTC * | |
| Sponsor Payment Deadline | Mar 19 '22 01:00 AM UTC * | |
| Last chance for a refund on registration fees | Apr 04 '22 08:00 PM UTC * | |
| Registration Close | Apr 15 '22 08:00 PM UTC * | |
| All dates » | Timezone: » |
Sponsors
We would like to thank our (growing) list of sponsors for their strong support for the MLSys Community. If your company would like to sponsor, please let us know.
Become a 2022 Sponsor »Organizing Committee
|
General Chair Diana Marculescu, UT Austin Program Chairs Yuejie Chi, CMU Workshop and Tutorial Chairs Chris De Sa, Cornell Workflow Chair Boyue Li, CMU |
Sponsor Chair Wen-ming Ye, Amazon Publications Chair Jakub Konečný, Google Artifact Evaluation Chairs Tianqi Chen, CMU Panel and Young Professional Activities Chair Udit Gupta, Harvard/FAIR |
The organizers can be contacted here.
Board
Ameet Talwalkar (President)
Virginia Smith (Secretary)
Inderjit Dhillon (Treasurer)
Matei Zaharia
Dimitris Papailiopoulos
Vivienne Sze
Alex Dimakis
Alex Smola
Ion Stoica
Steering Committee
Jennifer Chayes
Bill Dally
Jeff Dean
Michael I. Jordan
Yann LeCun
Fei-Fei Li
Alex Smola
Dawn Song
Eric Xing