Seyed Iman Mirzadeh

Wide Neural Networks Forget Less Catastrophically

2021 · arXiv (Cornell University)

A primary focus area in continual learning research is alleviating the "catastrophic forgetting" problem in neural networks by designing new algorithms that are more robust to the distribution shifts. While the recent progress in continual …

Architecture Matters in Continual Learning

2022 · arXiv (Cornell University)

A large body of research in continual learning is devoted to overcoming the catastrophic forgetting of neural networks by designing new algorithms that are robust to the distribution shifts. However, the majority of these works …