1.6k citations · 3.1k across the 31 of their papers we have counts for
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cs.LG2021★ 1 cited
Phases of learning dynamics in artificial neural networks: with or without mislabeled data
Yu Feng, Yuhai Tu
Despite tremendous success of deep neural network in machine learning, the underlying reason for its superior learning capability remains unclear. Here, we present a framework base…
cs.LG2018★ 103 cited
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Matthew Riemer, Ignacio Cases, Robert Ajemian +4
Lack of performance when it comes to continual learning over non-stationary distributions of data remains a major challenge in scaling neural network learning to more human realist…