2026 The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)

2026/7/17-2026/7/20

(Online+Offline)

MLMI 2026

Full name: 2026 The 9th International Conference on Machine Learning and Machine Intelligence (MLMI 2026)

Abbreviation: MLMI 2026

Tokyo, Japan

July 17-20, 2026

Website: http://mlmi.net/


Publication:

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings of MLMI 2026. (*All the previous Conference Proceedings have been indexed by Ei Compendex & Scopus.)


Topics:

Topics of interest for submission include, but are not limited to:

Track 1: Deep Learning and Neural Architectures

Neural Architecture Search

Generative Models

Transfer Learning


Track 2: Reinforcement Learning and Sequential Decision Making

Multi-Agent Reinforcement Learning

Time Series and Sequential Data

Real-Time AI Systems


Track 3: Applied Machine Intelligence

Machine Learning in Healthcare

AI in Robotics

Biometric and Behavioral Analytics


Track 4: Natural Language Processing and Multimodal Learning

Large Language Models

Multilingual and Low-Resource NLP

Cross-Modal Retrieval and Generation


Track 5: Emerging Paradigms and Future Directions

Quantum Machine Learning

Federated and Distributed Learning

AutoML and Meta-Learning


Track 6: Explainable, Ethical, and Human-Centered AI

Explainable AI (XAI)

Ethical AI and Fairness

Privacy-Preserving Machine Learning

For more topics, please visit: http://www.mlmi.net/cfp.html


Submission Guideline:

English is the official language. Paper should be prepared in English.

Abstract submission is for presentation only without publication.

Full paper submission is for both presentation and publication. (No less than 10 pages)

Submission Methods: 

- By online submission system: http://confsys.iconf.org/submission/mlmi2026

- Or Submit to mlmi_contact@163.com as attachment

For more details, please visit: http://www.mlmi.net/submission.html