12 citations · 15 across the 3 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2019★ 12 cited
Overcoming Multi-Model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires +4
We identify a phenomenon, which we refer to as multi-model forgetting, that occurs when sequentially training multiple deep networks with partially-shared parameters; the performan…
cs.LG2018
GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining
Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann +1
The dramatic success of deep neural networks across multiple application areas often relies on experts painstakingly designing a network architecture specific to each task. To simp…