ACML: Asian Conference on Machine Learning

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2022 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ACML 2021 The 13th Asian Conference on Machine Learning
Nov 17, 2021 - Nov 19, 2021 Virtual Jun 25, 2021
ACML 2020 The 12th Asian Conference on Machine Learning
Nov 18, 2020 - Nov 22, 2020 Bangkok, Thailand Jun 15, 2020
ACML 2019 The 11th Asian Conference on Machine Learning
Nov 17, 2019 - Nov 19, 2019 Nagoya, Japan Apr 15, 2019
ACML 2018 The 10th Asian Conference on Machine Learning
Nov 14, 2018 - Nov 16, 2018 Beijing, China Aug 1, 2018
ACML 2017 The 9th Asian Conference on Machine Learning
Nov 15, 2017 - Nov 17, 2017 Seoul, Korea Aug 5, 2017
ACML 2016 8th Asian Conference on Machine Learning
Nov 16, 2016 - Nov 18, 2016 Hamilton, New Zealand Aug 15, 2016
ACML 2015 7th Asian Conference on Machine Learning
Nov 20, 2015 - Nov 22, 2015 Hong Kong May 11, 2015
ACML 2014 Asian Conference on Machine Learning
Nov 26, 2014 - Nov 28, 2014 Nha Trang city, Vietnam May 19, 2014
ACML 2013 Asian Conference on Machine Learning
Nov 13, 2013 - Nov 15, 2013 Canberra, Australia Jul 24, 2013
ACML 2012 Asian Conference on Machine Learning
Nov 4, 2012 - Nov 6, 2012 Singapore Aug 6, 2012
ACML 2011 The Third Asian Conference on Machine Learning
Nov 13, 2011 - Nov 15, 2011 Taoyuan, TAIWAN Jul 23, 2011 (Jul 11, 2011)
ACML 2010 Asian Conference on Machine Learning
Nov 8, 2010 - Nov 10, 2010 Tokyo, Japan Jul 19, 2010
 
 

Present CFP : 2021

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.

SubmissionPermalink
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 TrackPermalink
Submission Deadline: June 25

For the conference track please submit your manuscript via CMT at: https://cmt3.research.microsoft.com/ACML2021

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.

Latex template and style files will be provided at a later date.

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 TrackPermalink
Submission Deadline: May 14

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 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.

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

First, please submit the abstract via CMT at: https://cmt3.research.microsoft.com/ACML2021

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, please make sure to choose “S.I. : ACML 2021” 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 DatesPermalink
Deadlines are 23:59 Pacific Time (PST/PDT) for all dates.

Conference TrackPermalink
Date Event
25 June 2021 Submission Deadline
11 August - 25 August 2021 Author Rebuttal
03 September 2021 Acceptance Notification
22 September 2021 Camera-Ready Submission Deadline
Journal TrackPermalink
Date Event
14 May 2021 Submission Deadline
30 June 2021 1st Round Review Results (accept, minor revision, or reject)
13 August 2021 Revised Manuscript Submission Deadline
17 September 2021 Notification
15 October 2021 Camera-Ready Submission Deadline
TopicsPermalink
Topics of interest include but are not limited to:

General machine learning
Active learning
Bayesian machine 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
Theory
Computational learning theory
Optimization (convex, non-convex)
Reproducible research
Bandits
Statistical learning theory
Other theories
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
Other applications
 

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