183 citations · 432 across the 25 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
stat.ML2017★ 76 cited
A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae, Mathieu Blondel
Modern neural networks are often augmented with an attention mechanism, which tells the network where to focus within the input. We propose in this paper a new framework for sparse…
stat.ML2017★ 5 cited
Multi-output Polynomial Networks and Factorization Machines
Mathieu Blondel, Vlad Niculae, Takuma Otsuka +1
Factorization machines and polynomial networks are supervised polynomial models based on an efficient low-rank decomposition. We extend these models to the multi-output setting, i.…
cs.CL2017★ 1 cited
Argument Mining with Structured SVMs and RNNs
Vlad Niculae, Joonsuk Park, Claire Cardie
We propose a novel factor graph model for argument mining, designed for settings in which the argumentative relations in a document do not necessarily form a tree structure. (This…