Conference Information
ACML 2024: Asian Conference on Machine Learning
https://www.acml-conf.org/2024/index.htmlSubmission Date: |
2024-06-26 |
Notification Date: |
2024-09-04 |
Conference Date: |
2024-12-05 |
Location: |
Hanoi, Vietnam |
Years: |
16 |
CCF: c CORE: b Viewed: 82568 Tracked: 289 Attend: 61
Call For Papers
Topics of interest include but are not limited to: General machine learning methodologies 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 methods 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 Learning in knowledge-intensive systems Knowledge refinement and theory revision Multi-strategy learning Other systems 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
Last updated by Dou Sun in 2024-03-24
Acceptance Ratio
Year | Submitted | Accepted | Accepted(%) |
---|---|---|---|
2021 | 441 | 130 | 29.5% |
2020 | 211 | 60 | 28.4% |
2019 | 343 | 87 | 25.4% |
2018 | 265 | 64 | 24.2% |
2017 | 195 | 47 | 24.1% |
2016 | 147 | 34 | 23.1% |
2015 | 96 | 28 | 29.2% |
2014 | 80 | 25 | 31.3% |
2013 | 103 | 32 | 31.1% |
2012 | 138 | 36 | 26.1% |
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Related Journals
CCF | Full Name | Impact Factor | Publisher | ISSN |
---|---|---|---|---|
a | Journal of Machine Learning Research | Microtome Publishing | 1532-4435 | |
International Journal of Artificial Intelligence & Machine Learning | AR Publication | 0000-0000 | ||
Foundations and Trends in Machine Learning | Now Publishers Inc. | 1935-8237 | ||
International Journal of Modern Physics C | World Scientific | 0129-1831 | ||
c | Machine Translation | Springer | 0922-6567 | |
Mechanism and Machine Theory | 3.866 | Elsevier | 0094-114X | |
Computer Assisted Language Learning | 2.018 | Taylor & Francis | 0958-8221 | |
Visualization in Engineering | Springer | 2213-7459 | ||
Journal of Function Spaces | 0.451 | Hindawi | 2314-8896 | |
Engineering | 7.553 | Elsevier | 2095-8099 |
Full Name | Impact Factor | Publisher |
---|---|---|
Journal of Machine Learning Research | Microtome Publishing | |
International Journal of Artificial Intelligence & Machine Learning | AR Publication | |
Foundations and Trends in Machine Learning | Now Publishers Inc. | |
International Journal of Modern Physics C | World Scientific | |
Machine Translation | Springer | |
Mechanism and Machine Theory | 3.866 | Elsevier |
Computer Assisted Language Learning | 2.018 | Taylor & Francis |
Visualization in Engineering | Springer | |
Journal of Function Spaces | 0.451 | Hindawi |
Engineering | 7.553 | Elsevier |
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