Visit the ICMAIL 2026 conference website Program, keynotes, venue, organization and registration details Open

About the Conference

machine learningartificial intelligenceeducation

ICMAIL 2026 is the 1st International Conference on Machine and Artificial Intelligent Learning. It brings together researchers and practitioners in machine learning and artificial intelligence to discuss advances in deep learning, reinforcement learning, neural architecture search, and responsible AI. Accepted papers will be submitted to IEEE for publication.

Submission Guidelines

Submissions must be anonymized for double-blind review. Papers should be no longer than 8 pages excluding references and appendices.

Review Guidelines

Please evaluate the paper based on originality, technical quality, clarity, and relevance. Use the provided score scale and provide constructive feedback.

Tracks

AI Ethics

Deep Learning

NLP Applications

Reinforcement Learning

Accepted Papers

Papers accepted to ICMAIL 2026.

#1 Human-AI Collaboration in Interactive Machine Learning Systems Deep Learning
Priya O'Connor, Noah Ivanov
#3 Causal Discovery from Time-Series Data Using Neural Networks Deep Learning
Maria Patel, Liam Dubois
#4 Multi-Modal Learning for Robot Manipulation in Cluttered Environments AI Ethics
Liam Mueller, Fatima Patel
#5 Adversarial Robustness of Vision Transformers Under Distribution Shift Deep Learning
Yuki Al-Farsi, Aisha Tanaka
#7 LeadGLF: Lead-Aware Global-Local Field Learning for ECG Diagnosis and Missing-Lead Reconstruction Deep Learning
David Williams
#11 SafeDiffusion: Robustifying Diffusion Models via Latent Consistency Regularization Deep Learning
David Williams
Paper Submission Jul 10, 2026
Review Period Aug 05, 2026
Acceptance Decision Aug 15, 2026

Submission Closed

The paper submission deadline has passed. Thank you for your interest.

Submission Closed

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