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ACML 2024 : 16th Asian Conference on Machine Learning

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Conference Series : Asian Conference on Machine Learning
 
Link: https://www.acml-conf.org/2024/
 
When Dec 5, 2024 - Dec 7, 2024
Where Hanoi, Vietnam
Submission Deadline Jun 26, 2024
Notification Due Aug 14, 2024
Final Version Due Sep 25, 2024
Categories    machine learning   deep learning   optimization   dimensionality reduction
 

Call For Papers

The 16th Asian Conference on Machine Learning (ACML 2024) will take place in Hanoi, Vietnam. 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 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. ACML has taken place annually since 2009 in locations throughout the Asia-Pacific region. This is the 2024 Conference to be held in Hanoi, Vietnam after previous conferences were held in ─░stanbul, Turkey (2023), Hyderabad, India (2022), virtual mode (2021), Bangkok (converted to virtual mode), Thailand (2020), Nagoya, Japan (2019), Beijing, China (2018), Seoul, Korea (2017), Hamilton, New Zealand (2016), Hong Kong, China (2015), Nha Trang, Vietnam (2014), Canberra, Australia (2013), Singapore (2012), Taoyuan, Taiwan (2011), Tokyo, Japan (2010), and Nanjing, China (2009).

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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