Richard Sutton Publishes 16th PhD Student's Thesis on Preventing Plasticity Loss in Neural Networks
RichardSSutton · x · 2026-10-04
Richard Sutton announced that his 16th PhD student, Fernando Hernandez Garcia, has released his dissertation: Selective Reinitialization Algorithms for Preventing Plasticity Loss in Artificial Neural Networks.
- The thesis tackles continual learning — systems that must keep adapting to non-stationary data, a longstanding goal of AI.
- Its core focus is loss of plasticity: the phenomenon where neural networks progressively lose the ability to learn from new data.
- It proposes selective reinitialization algorithms to prevent this degradation and keep deep networks adaptable.
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