4 citations · 6 across the 3 of their papers we have counts for
3 papers
Polarity is all you need to learn and transfer faster
Qingyang Wang, Michael A. Powell, Ali Geisa +2
Natural intelligences (NIs) thrive in a dynamic world - they learn quickly, sometimes with only a few samples. In contrast, artificial intelligences (AIs) typically learn with a pr…
Why do networks have inhibitory/negative connections?
Qingyang Wang, Michael A. Powell, Ali Geisa +3
Why do brains have inhibitory connections? Why do deep networks have negative weights? We propose an answer from the perspective of representation capacity. We believe representing…
Simple Lifelong Learning Machines
Jayanta Dey, Joshua T. Vogelstein, Hayden S. Helm +13
In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorith…