CFP Brochure
Submit Now!
We encourage researchers,
engineers, scientists, etc. in the domain of Machine Learning
and Machine Intelligence from around the world to submit your
paper via
Online Submission System or to E-mail:
mlmi_contact@163.com
To make sure that your submissions are received and reviewed,
please submit as EARLY as possible. By submitting a paper, all
authors also agree that at least one author would attend the
conference. All submissions will be subjected to blind peer
review organized by technical committee chairs with reviewers.
Topics of interest for submission include, but are not limited
to:
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Track 1: Deep Learning and Neural Architectures |
Track 2: Reinforcement Learning and Sequential Decision Making |
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▪ Architectural Advances |
▪ Advanced Reinforcement Learning Algorithms |
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▪ Efficient Training Techniques |
▪ Multi-Agent Reinforcement Learning |
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▪ Graph Neural Networks |
▪ Time Series and Sequential Data |
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▪ Generative Models |
▪ Predictive Modeling |
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▪ Neural Architecture Search |
▪ Anomaly Detection |
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▪ Transfer Learning |
▪ Sequential Decision Making |
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▪ Real-Time AI Systems |
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Track 3: Applied Machine Intelligence |
Track 4: Natural Language Processing and Multimodal Learning |
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▪ Machine Learning in Healthcare |
▪ Large Language Models |
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▪ AI in Robotics |
▪ Multilingual and Low-Resource NLP |
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▪ AI for Cybersecurity |
▪ Multimodal Machine Learning |
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▪ Biometric and Behavioral Analytics |
▪ Cross-Modal Retrieval and Generation |
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▪ Industry-Specific Applications |
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Track 5: Emerging Paradigms and Future Directions |
Track 6: Explainable, Ethical, and Human-Centered AI |
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▪ Quantum Machine Learning |
▪ Explainable AI (XAI) |
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▪ Federated and Distributed Learning |
▪ Ethical AI and Fairness |
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▪ AutoML and Meta-Learning |
▪ Privacy-Preserving Machine Learning |
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▪ Sustainable and Green AI |
▪ Human-Centered AI |
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▪ Hybrid Models |
▪ Augmented Intelligence |