Call for Papers

The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning. We encourage submissions from all parts of the world, not only confined to the Asia-Pacific region.

Submission

This year we are running two publication tracks: Authors may submit either to the conference track, for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR), or to the journal track for which accepted papers will appear in a special issue of the Springer journal Machine Learning (MLJ).

Please note that submission arrangements for the two tracks are different.

Conference Track (two submission rounds)

For the conference track please submit your manuscript via CMT at:

https://cmt3.research.microsoft.com/ACML2019
When creating a new submission on CMT, please make sure to choose "Conference" track.

Manuscripts must be written in English, be a maximum of 16 pages (including references, appendices etc.) and follow the PMLR style. If required, supplementary material may be submitted as a separate file, but reviewers are not obliged to consider this.

You can download a suitable Latex template and style files from ACML2019-PMLR-template.20190315.zip.
The files are updated on Mar.15 after the volume number of ACML2019 proceedings in PMLR is determined. If you downloaded the older ZIP file (ACML2019-PMLR-template.20190214.zip) in which the volume number is empty, replace \jmlrvolume{} with \jmlrvolume{101} in the file acml19_camera-ready_template.tex.

All conference track submissions must be anonymized. Submissions that are not anonymized, over-length, or not in the correct format will be rejected without review. It is not appropriate to submit papers that are substantially similar to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences or journals. However, submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. Also, submission is permitted for papers that are available as a technical report (e.g. in arXiv) as long as it is not cited in the submission.
Update on 22 March: Previously we announced that a submission to the conference track of a short version of a paper that has been submitted to other journal is accepted under some conditions, but the program committee changed the policy for some reasons. ACML2019 conference track will not accept submissions which was submitted or will be submitted to any conferences or journals.

Please be aware that ACML runs two submission rounds to the conference track:

Conference track 1st round (submission deadline: Apr.15)
The 1st round decision is either of "Accept", "Reject", or "Encourage to Resubmission to 2nd round". A paper with an "Encourage to Resubmission to 2nd round" decision can be re-submitted to 2nd round with a cover letter describing the changes and the responses to the review comments. The resubmitted paper will be reviewed by the same reviewers. There is no author rebuttal phase in this round.
Conference track 2nd round (submission deadline: Jul.15)
The 2nd round has the more usual Accept or Reject decisions with an author rebuttal phase.

Journal Track (submission deadline: Apr.09)

In addition to the Conference Track, the Asian Conference on Machine Learning will be running a Journal Track. In order to ensure an efficient reviewing process, we encourage submissions of papers up to 20 pages. Papers that are accepted to the journal track must be presented at the conference in order to be published.

For the template and style files, please follow the instructions for authors on the journal website: https://www.springer.com/computer/ai/journal/10994.

The journal track will follow the reviewing process of the Machine Learning journal. This includes allowing papers that require minor changes to be resubmitted after a first-round review. The Journal Track committee will aim to complete the reviewing process in time for this year's conference. In the unlikely event that the reviewing process for a paper could not be completed in time (for this year's conference), the paper will not be considered for the conference and the review will be completed as a regular submission to the Machine Learning journal.

For this year's journal track, the abstract and the paper must be submitted to different systems for the purpose of reviewer management.

First, please submit the abstract via CMT at:

https://cmt3.research.microsoft.com/ACML2019
When creating a new submission on CMT, please make sure to choose "Journal" track.

Then, please submit the paper via Springer's Editorial Manager system at:

https://www.editorialmanager.com/mach
When creating a new submission on Springer's Editorial Manager, make sure to choose "S.I. : ACML 2019" as the article type.

Journal track review is single-blind, i.e., the authors identity will be visible to reviewers. It is not appropriate to submit papers that are substantially similar to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences or journals. Submissions that are not in the correct format will be rejected without review. In addition, extended versions of published conference papers are not eligible for journal track submission. However, submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. Also, submission is permitted for papers that are available as a technical report (e.g. in arXiv).

Important Dates

Deadlines are 23:59 Pacific Standard Time (PST).

Conference track 1st round

  • Apr.15, 2019: Submission Deadline
  • May.30, 2019: Notification (Accept, Reject, or Encourage Resubmission to 2nd Round)
  • Sep.30, 2019: Camera-Ready Submission Deadline

Conference track 2nd round

  • Jul.15, 2019: Submission Deadline
  • Aug.19, 2019 - Aug.24, 2019: Author Rebuttal
  • Sep.03, 2019: Notification (Accept or Reject)
  • Sep.30, 2019: Camera-Ready Submission Deadline

Journal Track

  • Apr.09, 2019: Paper Submission Deadline
  • May.30, 2019: Review Result Released (Accept, Minor Revision, or Reject)
  • Jul.15, 2019: Revision Submission Deadline
  • Sep.03, 2019: Notification (Accept or Reject)
  • Sep.30, 2019: Camera-Ready Submission Deadline

Topics

Topics of interest include but are not limited to:

  • Applications
    • Bioinformatics
    • Biomedical informatics
    • Collaborative filtering
    • Computer vision
    • Healthcare
    • Human activity recognition
    • Information retrieval
    • Natural language processing
    • Social networks
    • Web search
    • Other applications
  • Deep learning
    • Deep learning theory
    • Generative model
    • Reinforcement learning
    • Supervised learning
    • Other topics in deep learning
  • General machine learning methodologies
    • Active learning
    • Bayesian machine learning
    • Dimensionality reduction
    • Feature selection
    • Graphical models
    • Latent variable models
    • Learning for big data
    • Learning in graphs
    • Multi-objective learning
    • Multiple instance learning
    • Multi-task learning
    • Online learning
    • Optimization
    • Reinforcement Learning
    • Semi-supervised learning
    • Sparse learning
    • Structured output learning
    • Supervised learning
    • Transfer learning
    • Unsupervised learning
    • Other machine learning methodologies
  • Learning in knowledge-intensive systems
    • Knowledge refinement and theory revision
    • Multi-strategy learning
    • Other systems
  • Theory
    • Computational learning theory
    • Optimization
    • Reproducible research
    • Statistical learning theory
    • Other theories