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parameter-isolation

Here are 2 public repositories matching this topic...

Fatemerjn / Parameter-Isolation-Continual-Learning-PyTorch

Focuses on parameter isolation methods for continual learning, where each task uses separate parameter masks or subnetworks to prevent forgetting. Implements Hard Attention to the Task (HAT), Supermask Superposition (SupSup), and Piggyback, with visualization tools and metrics for task overlap and capacity usage.

pytorch neural-networks representation-learning hat incremental-learning lifelong-learning continual-learning piggyback parameter-isolation supsup mask-learning

Updated Oct 15, 2025
Python

NikitasThermos / Parameter-Isolation-for-CL

Undergraduate thesis project focusing on Parameter Isolation methods to achieve Continual Learning on DNNs

python deep-learning pytorch continual-learning catastrophic-forgetting pnn packnet parameter-isolation

Updated Nov 30, 2024
Jupyter Notebook

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