Deep Learning and Neural Networks
1. Graph Neural Networks (GNN)
2. Generative Adversarial Networks (GAN)
3. Self-supervised learning
4. Meta-learning
5. Interpretable AI
About AINLP 2024
Dates: January 10 to 12, 2025
Venue: Guangzhou, China
Submission Link: https://www.ais.cn/attendees/paperSubmit/3YIAQQ
Registration Link: https://www.ais.cn/attendees/toSignUp/3YIAQQ
Call for Paper
Deep Learning and Neural Networks1. Graph Neural Networks (GNN) 2. Generative Adversarial Networks (GAN) 3. Self-supervised learning 4. Meta-learning 5. Interpretable AI | Reinforcement Learning and Intelligent Optimization1. Deep Reinforcement Learning (DRL) 2. Multi-Intelligent Systems 3. Sequential Decision Making and Dynamic Planning 4. Evolutionary Algorithms & Heuristic Optimization 5. Security and Robustness | Neural Architecture Search and Automated Machine Learning1. Neural Architecture Search (NAS) 2. Hyperparameter Optimization 3. Automated Data Preprocessing 4.Migration Learning & Domain Adaptation 5. Sample less vs. zero sample learning |
Neural Networks and Biologically Inspired Computing1. Neuromorphic Computing 2. Brain-computer interfaces and neural networks 3. Brain-like Intelligence 4.Brain Network Analysis 5. Bio-inspired learning algorithms | Neural Network Applications and Interdisciplinary Research1. Medical and Health Data Analytics 2. Financial Market Analysis and Trading Strategies 3. Automated Driving and Intelligent Transportation 4. Natural Language Processing and Language Generation 5. Industrial Automation and Intelligent Manufacturing Industrial Automation and Intelligent Manufacturing |