183 citations · 432 across the 25 of their papers we have counts for
5 papers · 1 filter
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Ali Araabi, Vlad Niculae, Christof Monz
Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle…
Two derivations of Principal Component Analysis on datasets of distributions
Vlad Niculae
In this brief note, we formulate Principal Component Analysis (PCA) over datasets consisting not of points but of distributions, characterized by their location and covariance. Jus…
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
David Stap, Vlad Niculae, Christof Monz
We argue that translation quality alone is not a sufficient metric for measuring knowledge transfer in multilingual neural machine translation. To support this claim, we introduce…
DAG Learning on the Permutahedron
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour +2
We propose a continuous optimization framework for discovering a latent directed acyclic graph (DAG) from observational data. Our approach optimizes over the polytope of permutatio…
Discrete Latent Structure in Neural Networks
Vlad Niculae, Caio F. Corro, Nikita Nangia +2
Many types of data from fields including natural language processing, computer vision, and bioinformatics, are well represented by discrete, compositional structures such as trees,…