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EnnengYang
Awesome-Forgetting-in-Deep-Learning EnnengYang
7
179
unknown
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A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
forgetting overfitting deep-learning meta-learning model-attacks generative-model machine-learning coreset-selection domain-adaptation continual-learning federated-learning machine-unlearning beneficial-forgetting reinforcement-learning catastrophic-forgetting model-inversion-attacks self-supervised-learning property-inference-attacks membership-inference-attacks data-free-knolwedge-distillation
Created 2023-07-03
89 commits to main branch, last one 5 days ago
Emory-Melody
awesome-graph-reduction Emory-Melody
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unknown
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[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
graph-coarsening machine-learning coreset-selection dataset-distillation graph-neural-networks
Created 2023-09-10
153 commits to main branch, last one 24 hours ago