A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
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Updated
Aug 16, 2024
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. arXiv:2307.09218.
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023
[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.
an implementation of unsupervised core-set selection
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