607 citations · 3.5k across the 64 of their papers we have counts for
4 papers · 1 filter
Non-Autoregressive Neural Machine Translation
Jiatao Gu, James Bradbury, Caiming Xiong +2
Existing approaches to neural machine translation condition each output word on previously generated outputs. We introduce a model that avoids this autoregressive property and prod…
Neural Machine Translation with Gumbel-Greedy Decoding
Jiatao Gu, Daniel Jiwoong Im, Victor O. K. Li
Previous neural machine translation models used some heuristic search algorithms (e.g., beam search) in order to avoid solving the maximum a posteriori problem over translation sen…
Search Engine Guided Non-Parametric Neural Machine Translation
Jiatao Gu, Yong Wang, Kyunghyun Cho +1
In this paper, we extend an attention-based neural machine translation (NMT) model by allowing it to access an entire training set of parallel sentence pairs even after training. T…
Trainable Greedy Decoding for Neural Machine Translation
Jiatao Gu, Kyunghyun Cho, Victor O. K. Li
Recent research in neural machine translation has largely focused on two aspects; neural network architectures and end-to-end learning algorithms. The problem of decoding, however,…