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Week 1: Data Imbalance and Non-Stationary Environment
Week 2: Introduction to Unknown and Open-Set Recognition
Week 3: Open-Set Recognition Techniques
Week 4: Introduction to Active Learning
Week 5: Active Learning on LLM
Week 6: Novelty Discovery
Week 7: Open-Set Detection
Week 8: Mid-term Exam (Project Proposal Candidate)
Week 9: Continual Learning: Catastrophic Forgetting
Week 10: Continual Learning Techniques
Week 11: Continual Learning on LLM
Week 12: OWLML and Agentic AI
Week 13: Project-Based Learning
Week 14: Project-Based Learning
Week 15: Project-Based Learning
Week 16: Final Exam (Project Presentation)

Open-World Lifelong Machine Learning

Lecture Notes (LN)

Week 1: Data Imbalance and Non-Stationary Environment

Week 2: Introduction to Unknown and Open-Set Recognition

Week 3: Open-Set Recognition Techniques

Week 4: Introduction to Active Learning

Week 5: Active Learning on LLM

Week 6: Novelty Discovery

Week 7: Open-Set Detection

Week 8: Mid-term Exam (Project Proposal Candidate)

Please hit the books..!

Week 9: Continual Learning: Catastrophic Forgetting

Week 10: Continual Learning Techniques

Week 11: Continual Learning on LLM

Week 12: OWLML and Agentic AI

Week 13: Project-Based Learning

Week 14: Project-Based Learning

Week 15: Project-Based Learning

Week 16: Final Exam (Project Presentation)

Good luck..!