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GitHub / EnnengYang / Awesome-Forgetting-in-Deep-Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
Stars: 96
Forks: 6
Open Issues: 0
License: None
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Repo Size: 13.7 KB
Dependencies: pending
Created: 11 months ago
Updated: 5 months ago
Last pushed: 5 months ago
Last synced: 5 months ago
Topics: beneficial-forgetting, catastrophic-forgetting, continual-learning, coreset-selection, data-free-knolwedge-distillation, deep-learning, domain-adaptation, federated-learning, forgetting, generative-model, machine-learning, machine-unlearning, membership-inference-attacks, meta-learning, model-attacks, model-inversion-attacks, overfitting, property-inference-attacks, reinforcement-learning, self-supervised-learning