Asian Conference on Machine Learning (ACML 2023) - CFP
Hande Alemdar
*apologies if you have received multiple copies of this email
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ACML 2023
The 15th Asian Conference on Machine Learning
İstanbul, Turkey
November 11-14, 2023
https://www.acml-conf.org/2023/
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CALL FOR PAPERS
The 15th Asian Conference on Machine Learning (ACML 2023) will take place between November 11-14, 2023 in İstanbul, Turkey. 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.
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).
Please refer to http://www.acml-conf.org/2023/ for more details. Instructions for submission and LaTeX templates will be available soon.
IMPORTANT DATES
(subject to minor changes in case there are conflicts with timelines of other major ML conferences)
Conference Track
● 23 June 2023 Submission deadline
● 11 August 2023 Reviews released to authors
● 18 August 2023 Author rebuttal deadline
● 08 September 2023 Acceptance notification
● 29 September 2023 Camera-ready submission deadline
Journal Track
● 26 May 2023 Submission deadline
● 07 July 2023 1st round review results (accept, minor revision, or reject)
● 11 August 2023 Revised manuscript submission deadline (for minor revision papers)
● 08 September 2023 Acceptance notification
● 29 September 2023 Camera-ready submission deadline
TOPICS
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
● Neuro-symbolic 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
● Architectures
● Attention mechanism and transformers
● Deep learning theory
● Deep reinforcement learning
● Generative models
● Supervised learning
● Other topics in deep learning
Theory
● Bandits
● Computational learning theory
● Game theory
● Matrix/tensor methods
● Optimization
● Statistical learning theory
● Other theories
Datasets and reproducibility
● Implementations, libraries
● ML datasets and benchmarks
● 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
● Climate science
● Collaborative filtering
● Computer vision
● COVID-19 related research
● Healthcare
● Human activity recognition
● Information retrieval
● Natural language processing
● Social good
● Social networks
● Web search
● Other applications