Call for Papers: Asian Conference on Machine Learning 2021

[Wee Sun Lee]

The 13th Asian Conference on Machine Learning (ACML 2021) will take place on November 17 - 19, 2021 virtually. 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.

Submissions from regions other than the Asia-Pacific are also highly encouraged. The conference runs 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). After the acceptance notification, we plan to invite some of the selected authors in the conference track to submit their extended papers to the Topical Issue in Springer Nature Computer Science.

Besides a program of tutorials and workshops, this year we will be running the Online Asian Machine Learning School (OA^MLS) on November 8 - 19, 2021 as part of ACML. OA^MLS aims to help prepare the next generation machine learning researchers and practitioners by providing them with knowledge of machine learning fundamentals as well as state-of-the-art advances. It focuses on participants in the Asia-Pacific region; the virtual format, supported by ever improving communication technologies, allows affordable participation from students and practitioners from a large part of the region, including those from under-represented areas, who may otherwise be unable to afford travel to a physical international school.

Please refer to http://www.acml-conf.org/2021/ for more details.

Important Dates

Conference Track
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 Track
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

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