1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Topological Continual Learning with Wasserstein Distance and Barycenter
Tananun Songdechakraiwut, Xiaoshuang Yin, Barry D. Van Veen
Continual learning in neural networks suffers from a phenomenon called catastrophic forgetting, in which a network quickly forgets what was learned in a previous task. The human br…
cs.LG2022★ 1 cited
Topological Classification in a Wasserstein Distance Based Vector Space
Tananun Songdechakraiwut, Bryan M. Krause, Matthew I. Banks +2
Classification of large and dense networks based on topology is very difficult due to the computational challenges of extracting meaningful topological features from real-world net…