Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Theory of Combinatorial Algorithms

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar (in cooperation with M. Ghaffari, A. Steger and B. Sudakov)

Mittagsseminar Talk Information

Date and Time: Thursday, November 27, 2014, 12:15 pm

Duration: 30 minutes

Location: CAB G51

Speaker: Hafsteinn Einarsson

Towards more efficient one shot learning using inhibition in cell assemblies

One shot learning is the task of retaining information presented only once. We study abstract models of one shot learning inspired by biology in the sense that we restrict ourselves to bioplausible parameter regimes. This study eventually led us to questions regarding the spread of information in random graphs (bootstrap percolation / iterative retrieval). For example, how many subsets with density p in a graph on n vertices can you insert until it fails to have the property that the activation of one subset stays within that subset and does not spread to the rest of the graph?

As it turns out, even though many of the models have asymptotically satisfying memory capacities, the restriction to bioplausible parameters can have a detrimental effect on the leading constants. This raises the question, what is the secret ingredient biology has which we are missing?

In this talk I will present past and ongoing research regarding one shot learning in an attempt to unfold this mystery.


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