Conference Information
ACML 2022: Asian Conference on Machine Learning
https://www.acml-conf.org/2022/Submission Date: |
2022-06-23 |
Notification Date: |
2022-09-08 |
Conference Date: |
2022-12-14 |
Location: |
Hyderabad, India |
Years: |
14 |
CCF: c CORE: b Viewed: 79440 Tracked: 284 Attend: 60
Call For Papers
Topics of interest include but are not limited to: General machine learning Active 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 Probabilistic Methods Bayesian machine learning Graphical models Variational inference Gaussian processes Monte Carlo methods Theory Computational learning theory Optimization (convex, non-convex) Bandits Game theory Matrix/Tensor methods Statistical learning theory Other theories Datasets and Reproducibility ML datasets and benchmarks Implementations, libraries 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 Collaborative filtering Computer vision COVID-19 related research Healthcare Human activity recognition Information retrieval Natural language processing Social networks Web search Climate science Social good Other applications
Last updated by Dou Sun in 2022-04-30
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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