1 citations · 1 across the 1 of their papers we have counts for
3 papers
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva +1
One of the major challenges in training deep architectures for predictive tasks is the scarcity and cost of labeled training data. Active Learning (AL) is one way of addressing thi…
Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva +1
In recent years session-based recommendation has emerged as an increasingly applicable type of recommendation. As sessions consist of sequences of events, this type of recommendati…
The use of systems of stochastic PDEs as priors for multivariate models with discrete structures
Erlend Aune, Daniel Simpson
A challenge in multivariate problems with discrete structures is the inclusion of prior information that may differ in each separate structure. A particular example of this is seis…