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Workshop
Machine Learning for Systems
Anna Goldie · Azalia Mirhoseini · Jonathan Raiman · Martin Maas · Xinlei XU

Sat Dec 12 09:00 AM -- 05:50 PM (PST) @
Event URL: http://mlforsystems.org/ »

NeurIPS 2020 Workshop on Machine Learning for Systems

Website: http://mlforsystems.org/

Submission Link: https://cmt3.research.microsoft.com/MLFS2020/Submission/Index

Important Dates:

Submission Deadline: October 9th, 2020 (AoE)
Acceptance Notifications: October 23rd, 2020
Camera-Ready Submission: November 29th, 2020
Workshop: December 12th, 2020

Call for Papers:

Machine Learning for Systems is an interdisciplinary workshop that brings together researchers in computer systems and machine learning. This workshop is meant to serve as a platform to promote discussions between researchers in these target areas.

We invite submission of up to 4-page extended abstracts in the broad area of using machine learning in the design of computer systems. We are especially interested in submissions that move beyond using machine learning to replace numerical heuristics. This year, we hope to see novel system designs, streamlined cross-platform optimization, and new benchmarks for ML for Systems.

Accepted papers will be made available on the workshop website, but there will be no formal proceedings. Authors may therefore publish their work in other journals or conferences. The workshop will include invited talks from industry and academia as well as oral and poster presentations by workshop participants.

Areas of interest:

* Supervised, unsupervised, and reinforcement learning research with applications to:
- Systems Software
- Runtime Systems
- Distributed Systems
- Security
- Compilers, data structures, and code optimization
- Databases
- Computer architecture, microarchitecture, and accelerators
- Circuit design and layout
- Interconnects and Networking
- Storage
- Datacenters
* Representation learning for hardware and software
* Optimization of computer systems and software
* Systems modeling and simulation
* Implementations of ML for Systems and challenges
* High quality datasets for ML for Systems problems

Submission Instructions:

We welcome submissions of up to 4 pages (not including references). This is not a strict limit, but authors are encouraged to adhere to it if possible. All submissions must be in PDF format and should follow the NeurIPS 2020 format. Submissions do not have to be anonymized.

Please submit your paper no later than October 9th, 2020 midnight anywhere in the world to CMT (Link available soon).

Author Information

Anna Goldie (Google Brain / Stanford)
Azalia Mirhoseini (Google Brain)
Jonathan Raiman (NVIDIA)
Martin Maas (Google)
Xinlei XU (NYU)

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