Call For Papers

2026 3rd International Conference on Machine Learning and Neural Networks (MLNN 2026) provides a premier forum for the presentation of new advances and research results in the fields of Machine Learning and Neural Networks. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world.

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

◕ Neural Networks

· Deep Neural Networks

· Convolutional Neural Networks

· Generative Adversarial Networks

· Recurrent Neural Networks

· Neural Network Structures

· Neural Symbolic Hybrid Models

· Interpretability and Visualization Methods of Neural Networks

· Analysis and Research of Neural Networks in Multiple Fields

◕ Machine Learning

· Broad Learning Systems

· Machine Learning

· Deep Learning

· Reinforcement Learning

· Learning Transfer

· Knowledge Graph

· Path Planning

· Transfer Learning

· Generative Adversarial Networks

· Adversarial Learning

· Dual Learning

· Distributed Learning

· Meta-Learning

◕ Deep learning algorithms and applications

· Applications of Convolutional Neural Networks in Image Processing

· Recurrent Neural Networks and Their Applications in Sequence Data

· Autoencoders and Generative Models

· Natural Language Processing Applications

· Applications of Neural Networks in Medical Image Analysis

· Applications of Neural Networks in Bioinformatics

· Applications of Neural Networks in Intelligent Transportation Systems

· Applications of Neural Networks in Robot Control

· Applications of Neural Networks in Recommendation Systems

· Applications of Neural Networks in Anomaly Detection and Early Warning

· Federated Learning and Distributed Neural Networks

· Hardware Acceleration of Neural Networks

· Applications of Neural Networks in the Internet of Things (IoT)

· Applications of Neural Networks in Edge Computing

Other ...

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