Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting

By Tomer Lancewicki, Benjamin Goodrich, Itamar Arel. 2015

7 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Minju Jung
2. Junmo Kim
3. Heechul Jung
4. Jeongwoo Ju
5. Benjamin Goodrich
6. Marc Masana
7. Fei Ye
8. Adrian G. Bors

In Statistical and Nonlinear Physics

1. Benjamin Goodrich
2. Junmo Kim

Citations in the corpus

• Less-forgetting Learning in Deep Neural Networks (2016, background): “[14] and [15] have similar issues mentioned above.”
• Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning (2015, methodology): “For details of the covariance estimator which we used, the reader is referred to [62].”
• The Power of (Non-)Linear Shrinking: A Review and Guide to Covariance Matrix Estimation (2020, unknown): “Neural Networks Mitigating catastrophic forgetting (Lancewicki et al., 2015).”