40 citations · 147 across the 23 of their papers we have counts for
3 papers · 1 filter
Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties
Ming Yu, Addie M. Thompson, Karthikeyan Natesan Ramamurthy +2
Inferring predictive maps between multiple input and multiple output variables or tasks has innumerable applications in data science. Multi-task learning attempts to learn the maps…
Learning task structure via sparsity grouped multitask learning
Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano
Sparse mapping has been a key methodology in many high-dimensional scientific problems. When multiple tasks share the set of relevant features, learning them jointly in a group dra…
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
Sahil Garg, Irina Rish, Guillermo Cecchi +1
In this paper, we focus on online representation learning in non-stationary environments which may require continuous adaptation of model architecture. We propose a novel online di…