Workshop on ML for Systems at NeurIPS 2023, December 16, New Orleans Convention Center, 9:00AM-5:00PM, Room 211-213
Workshop on ML for Systems at NIPS 2018 Date December 8th, 2018

Workshop Overview

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.

Call for Papers

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 additionally look for

  • Using LLMs for systems, such as program synthesis for hardware and other specialized domains, and
  • Using ML for systems issues that emerge from large scale training and serving, such as compiler partitioning schemes for training LLMs across GPUs and TPUs located globally.

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.

Camera-Ready Instructions

For accepted papers, please update the camera-ready manuscript on OpenReview by November 17th AoE.

Please see instructions below:

  • The camera-ready template is the same as the one used for submission, which is same as NeurIPS papers. Kindly use the Final package. We have made some minor changes to the format. Please use the template (.zip)
  • attached.
  • There is a hard page limit of 4 pages (excluding references and Appendix).
  • Appendix and references do not have a limit

Areas of interest:

You can find accepted papers to the previous iteration of ML for Systems from NeurIPS 2022, 2021, 2020, 2019, 2018, and ISCA 2019.

  • 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
    • Programming Languages
  • 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
  • Emerging applications
    • Using LLMs for systems
    • Using ML for challenges in large-scale machine learning systems for ML training and serving

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 2023 format.

  • Submissions do not have to be anonymized.
  • Please submit your paper no later than September 29th October 6th, 2023 midnight anywhere in the world to OpenReview submission site.

Important Dates

  • Competition Start Date: Late August, 2023 (to be announced)
  • Submission Deadline: September 29th October 6th, 2023 by midnight Anywhere in the World.
  • Acceptance Notifications: October 20th, 2023
  • Competition Submission Deadline: November 17, 2023
  • Workshop: December ~16 TBD, 2023
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