Problem

MISSING: Continual/lifelong learning (learn without forgetting) and active learning (smart data labeling).

Missing Implementations

Continual Learning (HIGH):

• Elastic Weight Consolidation (EWC)
• Progressive Neural Networks
• Learning without Forgetting (LwF)
• PackNet (parameter allocation)
• Gradient Episodic Memory (GEM)

Active Learning (HIGH):

• Uncertainty sampling
• Query-by-Committee
• Expected Gradient Length
• Core-set selection
• Diverse mini-batch active learning

Curriculum Learning (MEDIUM):

• Difficulty-based ordering
• Self-paced learning
• Teacher-student curriculum
• Dynamic curriculum

Memory Mechanisms (MEDIUM):

• Episodic memory
• Exemplar selection
• Memory replay
• Pseudo-rehearsal

Use Cases

• Online learning systems
• Reduce labeling costs (active learning)
• Multi-domain learning
• Adaptive systems
• Few-shot continual learning

Architecture

Success Criteria

• Continual learning benchmarks (Split MNIST/CIFAR)
• Active learning reduces labeling by 50%+
• No catastrophic forgetting
• Parity with Avalanche library