会議情報

DLNN 2025: International Conference on Deep Learning and Neural Networks

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提出日:
2025-10-10
通知日:
2025-11-10
会議日:
2025-12-12
場所:
Changsha, China
閲覧: 3001   追跡: 0   出席: 0

論文募集

DLNN 2025 (International Conference on Deep Learning and Neural Networks) is an academic conference held in Changsha, China on 2025-12-12. The paper submission deadline is 2025-10-10. Acceptance notifications are sent on 2025-11-10.

International Conference on Deep Learning and Neural Networks (DLNN) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: Track 1: Deep Learning Neuro-Fuzzy Algorithms Evolutionary Methods Convolutional Neural Networks (CNN) Neural Networks for Optoelectronics Deep Hierarchical Networks (DHN) Unsupervised Feature Learning Generative Adversarial Networks (GAN) Deep Metric Learning Methods Deep Reinforcement Learning Machine Learning for Optical Communications Computational Photonics with Deep Learning Learning Deep Generative Models Graph Representation Learning Active Learning Agent-Based Learning Manifold Learning Multi-Task Learning Statistical Models and Learning Computational Learning Evolutionary Algorithms and Learning Fuzzy Logic-Based Learning Parallel and Distributed Learning Deep Learning for Computing and Network Platforms Deep Learning for Photonic Devices Quantum Photonics and Deep Learning ... Track 2: Neural Networks Robot Control Knowledge Engineering Artificial Intelligence Human-Computer Interaction Deep Learning Signal Processing Information Extraction Natural Language Inference Convolutional Neural Networks Optical Neural Networks and Neuromorphic Photonics Hebbian Theory Residual Neural Networks Physics-informed neural networks for photonics Self-Organizing Feature Maps Biological Neural Networks Neural networks for terahertz photonics and optoelectronics Cellular Neural Networks Feedforward Neural Networks Extreme Learning Machines Multilayer Perceptrons Graph Neural Networks Multi-Layer Neural Network Neural Network Hardware Radial Basis Function Networks Recurrent Neural Networks Hopfield Neural Networks ...
最終更新 Dou Sun

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