Improve Forward Transfer by Selectively Concatenating Prompts from Prior Tasks in Continual Learning
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Updated
Feb 8, 2024 - Jupyter Notebook
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progressive-networks
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Implements dynamic and expandable architectures for continual learning — where networks grow or prune over tasks to balance plasticity and stability. Includes Progressive Neural Networks, Dynamically Expandable Networks (DEN), and PackNet, with utilities for parameter freez
pytorch incremental-learning neural-architecture-search lifelong-learning den continual-learning packnet dynamic-architecture progressive-networks model-expansion
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Updated
Oct 15, 2025 - Python
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