183 citations · 432 across the 25 of their papers we have counts for
3 papers · 1 filter
Towards Dynamic Computation Graphs via Sparse Latent Structure
Vlad Niculae, André F. T. Martins, Claire Cardie
Deep NLP models benefit from underlying structures in the data---e.g., parse trees---typically extracted using off-the-shelf parsers. Recent attempts to jointly learn the latent st…
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms
Mathieu Blondel, André F. T. Martins, Vlad Niculae
This paper studies Fenchel-Young losses, a generic way to construct convex loss functions from a regularization function. We analyze their properties in depth, showing that they un…
SparseMAP: Differentiable Sparse Structured Inference
Vlad Niculae, André F. T. Martins, Mathieu Blondel +1
Structured prediction requires searching over a combinatorial number of structures. To tackle it, we introduce SparseMAP: a new method for sparse structured inference, and its natu…