6 citations · 9 across the 4 of their papers we have counts for
5 papers
Moment Matching Training for Neural Machine Translation: A Preliminary Study
Cong Duy Vu Hoang, Ioan Calapodescu, Marc Dymetman
In previous works, neural sequence models have been shown to improve significantly if external prior knowledge can be provided, for instance by allowing the model to access the emb…
Towards Decoding as Continuous Optimization in Neural Machine Translation
Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn
We propose a novel decoding approach for neural machine translation (NMT) based on continuous optimisation. We convert decoding - basically a discrete optimization problem - into a…
Muckenhoupt-Wheeden conjectures for sparse operators
Cong Hoang, Kabe Moen
We provide an example of a pair of weights for which the Hardy-Littlewood maximal function is bounded from to and from to $L^{p'}(v^{1-…
Weighted estimates for bilinear fractional integral operators and their commutators
Cong Hoang, Kabe Moen
In this paper we prove several weighted estimates for bilinear fractional integral operators and their commutators with BMO functions. We also prove maximal function control theore…
Incorporating Structural Alignment Biases into an Attentional Neural Translation Model
Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova +3
Neural encoder-decoder models of machine translation have achieved impressive results, rivalling traditional translation models. However their modelling formulation is overly simpl…