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Gradient-basedEditingofMemoryExamplesfor Online Task-freeContinualLearning

Neural Information Processing Systems

GMED-editedexamplesremain similar to their unedited forms, but can yield increased loss in the upcoming model updates, thereby making thefuture replays more effectiveinovercoming catastrophic forgetting.




Falconn++: ALocality-sensitiveFilteringApproach forApproximateNearestNeighborSearch

Neural Information Processing Systems

Theoretically,Falconn++ asymptotically achieves lower query time complexity than Falconn, an optimal locality-sensitive hashing scheme on angular distance.