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 (OAMLS) on November 8 - 19, 2021 as part
of ACML. OAMLS 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/ <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_______________________________________________
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