12 citations · 23 across the 3 of their papers we have counts for
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stat.ML2017
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
Multi-task learning (MTL) allows deep neural networks to learn from related tasks by sharing parameters with other networks. In practice, however, MTL involves searching an enormou…
cs.CL2017★ 12 cited
Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel, Anders Søgaard
Multi-task learning (MTL) in deep neural networks for NLP has recently received increasing interest due to some compelling benefits, including its potential to efficiently regulari…