Call for Papers

The 14th Asian Conference on Machine Learning (ACML 2022) will take place between December 14-16, 2022 at Hyderabad, India. The conference aims to provide a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. While the main conference paper presentations will remain virtual to encourage widespread participation in current times, the conference will also have physical components to allow in-person interaction for those who can attend.

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.

The conference runs two publication tracks, authors may submit either to:
Conference track (16-page limit with references), for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR).
Journal track (20-page limit with references) for which accepted papers will appear in a special issue of the Springer Machine Learning Journal(MLJ).


IMPORTANT DATES

(subject to minor changes in case there are conflicts with timelines of other major ML conferences)

Conference Track

23 Jun 2022 Submission deadline
11 Aug 2022 Reviews released to authors
18 Aug 2022 Author rebuttal deadline
08 Sep 2022 Acceptance notification
29 Sep 2022 Camera-ready submission deadline
Journal Track

26 May 2022 Submission deadline
07 Jul 2022 1st round review results (accept, minor revision, or reject)
11 Aug 2022 Revised manuscript submission deadline (for minor revision papers)
08 Sep 2022 Acceptance notification
29 Sep 2022 Camera-ready submission deadline
Topics

Topics of interest include but are not limited to:
General machine learning
Active learning
Dimensionality reduction
Feature selection
Graphical models
Imitation Learning
Latent variable models
Learning for big data
Learning from noisy supervision
Learning in graphs
Multi-objective learning
Multiple instance learning
Multi-task learning
Online learning
Optimization
Reinforcement learning
Relational learning
Semi-supervised learning
Sparse learning
Structured output learning
Supervised learning
Transfer learning
Unsupervised learning
Other machine learning methodologies
Deep learning
Attention mechanism and transformers
Deep learning theory
Generative models
Deep reinforcement learning
Architectures
Other topics in deep learning
Probabilistic Methods
Bayesian machine learning
Graphical models
Variational inference
Gaussian processes
Monte Carlo methods
Theory
Computational learning theory
Optimization (convex, non-convex)
Bandits
Game theory
Matrix/Tensor methods
Statistical learning theory
Other theories
Datasets and Reproducibility
ML datasets and benchmarks
Implementations, libraries
Other topics in reproducible ML research
Trustworthy Machine Learning
Accountability/Explainability/Transparency
Causality
Fairness
Privacy
Robustness
Other topics in trustworthy ML
Applications
Bioinformatics
Biomedical informatics
Collaborative filtering
Computer vision
COVID-19 related research
Healthcare
Human activity recognition
Information retrieval
Natural language processing
Social networks
Web search
Climate science
Social good
Other applications


SUBMISSION INSTRUCTIONS

Similar to previous years, ACML 2022 has two publication tracks . Authors may submit either to the:

Conference track (16-page limit with references), for which the proceedings will be published as a volume of Proceedings of Machine Learning Research Workshop and Conference Proceedings (PMLR).
Journal track (20-page limit with references) for which accepted papers will appear in a special issue of the Springer Machine Learning Journal(MLJ).
Please note that submission procedures for the two tracks are different. Please read the instructions carefully before submitting.

Conference Track

Submission Deadline: June 23, 2022

For the conference track, please submit your manuscript via CMT at: https://cmt3.research.microsoft.com/ACML2022. CMT will open one month before the deadline, i.e. on 23 May, 2022, for the conference track.

IMPORTANT: When creating a new submission on CMT, please ensure you choose 'Conference' track.

The Latex camera-ready template and style file can be found here: ACML2022-camera_ready-template.zip.

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.

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.

After the acceptance notification, we plan to invite some of the selected authors to submit their extended papers to the Topical Issue in Springer Nature Computer Science.

Journal Track

Submission Deadline: May 26, 2022

In addition to the Conference Track, this year’s ACML will run a Journal Track, similar to previous years. Papers that are accepted to the journal track must be presented at the conference in order to be published.

IMPORTANT: Similar to previous years, for the Journal Track, the abstract and the paper must be submitted to two different systems simultaneously for the purpose of review management:

First, please submit ONLY the title and abstract via CMT at: https://cmt3.research.microsoft.com/ACML2022. (paper manuscript need not be submitted here). When creating the submission on CMT, please choose the “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, please make sure to choose 'S.I. : ACML 2022' as the article type.
For the Journal Track, manuscripts must be written in English with a maximum of 20 pages (including references, appendices etc). 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 is not 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.

The 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).