Conference Theme:
Intelligent Adaptation for Lifelong Learning and Continual AI
iCALL 2025 invites high-quality, original research contributions addressing theoretical,
methodological, and application-oriented advancements in Continual Learning, Adaptive Learning, and Lifelong
AI Systems. The conference provides a platform for discussions on the latest developments in incremental
learning, adaptive model optimization, task transfer, knowledge reuse, and real-world AI applications across
diverse domains.
Track 1: Theories, Models, and Algorithms for Lifelong Learning
Focus: Fundamental research on continual learning, adaptation, and multi-task
learning
- Theories and computational models for lifelong learning systems
- Adaptive learning techniques in dynamic and evolving environments
- Incremental learning and online learning approaches
- Methods for adding new tasks or data without retraining from scratch
- Techniques to mitigate catastrophic forgetting in neural networks
- Knowledge retention, consolidation, and self-improving AI models
- Scalability and resource-efficient continual learning algorithms
- Cross-domain and multi-domain adaptation strategies
- Multi-task learning architectures and optimization techniques
- Explainable AI for adaptive and lifelong learning systems
Track 2: Data-Driven Adaptation, Optimization, and Knowledge Reuse
Focus: Intelligent data processing, transfer learning, and real-time model updates
- Transfer learning for leveraging prior knowledge in new domains
- Intelligent task transfer and adaptation in lifelong learning
- Learning analytics and AI-driven insights for continuous education
- Sustainable and scalable AI optimization for real-time adaptation
- Reinforcement learning for self-improving and self-adaptive systems
- Data-efficient AI and strategies for low-resource continual learning
- Knowledge distillation techniques in adaptive learning systems
- Edge computing and distributed learning for lifelong AI models
- Human-in-the-loop approaches for adaptive AI optimization
- Privacy, security, and ethical considerations in lifelong learning AI
Track 3: Real-World Applications of Continual and Adaptive Learning
Focus: Applications of adaptive AI in education, robotics, smart cities, and beyond
- AI-powered lifelong learning for workforce development and upskilling
- Adaptive and intelligent tutoring systems for personalized education
- Cognitive-inspired AI for human-like learning and decision-making
- Robotics and autonomous systems with real-time adaptive behavior
- Smart cities and IoT applications for dynamic and responsive AI
- Mobile and ubiquitous learning systems for real-time adaptation
- AI-driven healthcare solutions for continuous diagnosis and treatment adaptation
- Augmented and virtual reality for immersive and adaptive learning experiences
- Conversational AI, chatbots, and intelligent assistants in lifelong learning
- Ethical AI and sustainable development in lifelong learning environments
