Call for Submissions to the Conference on Systems and Machine Learning 2020!
Authors are encouraged to submit previously unpublished research at the intersection of computer systems and machine learning. The Conference on Systems and Machine Learning Program Committee will select papers based on a combination of novelty, quality, interest, and impact.
Topics of interest include, but are not limited to:
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 and interpretability for ML applications
Data preparation, feature selection, and feature extraction
ML programming models and abstractions
Programming languages for machine learning
Visualization of data, models, and predictions
Customized hardware for machine learning
Hardware-efficient ML methods
Machine Learning for Systems
Reviewing process: All submissions will be double blind, though authors are allowed to post their paper on arXiv or other public forums. Key dates related to the reviewing process are given below:
Paper submission deadline: September 9, 2019 at 4:59pm PDT
Author rebuttal period: November 4-11, 2019
Decision notification: December 20, 2019
Dual submission policy: We will not accept any paper which, at the time of submission, is under review for another conference or has already been published. This policy also applies to papers that overlap substantially in technical content with conference papers under review or previously published. Authors may, however, submit to Conference on Systems and Machine Learning substantially different versions of journal papers that are currently under review by a journal, but not yet accepted at the time of submission. After submission and during the review period, Conference on Systems and Machine Learning submissions must not be submitted to other conferences. However, authors may submit to non-archival venues, such as workshops without proceedings, or as technical reports (or similar, e.g., arXiv).
Proceedings: Accepted papers will be published in the form of online proceedings.
Submission format: To prepare your submission to Conference on Systems and Machine Learning 2020, please use the LaTeX style files provided at: SML2020style.tar.gz. Submitted papers will be in a 2-column format and can be up to 10 pages long, not including references. Authors may use as many pages of appendices as they wish, but reviewers are not required to read these. If you wish to include an appendix, please upload this separately from your main paper. You will be able to upload the appendix after submitting your main paper.
Submission site: https://cmt3.research.microsoft.com/SML2020