31 citations · 45 across the 4 of their papers we have counts for
4 papers
Imitation Learning for Non-Autoregressive Neural Machine Translation
Bingzhen Wei, Mingxuan Wang, Hao Zhou +3
Non-autoregressive translation models (NAT) have achieved impressive inference speedup. A potential issue of the existing NAT algorithms, however, is that the decoding is conducted…
A New Recurrent Neural CRF for Learning Non-linear Edge Features
Shuming Ma, Xu Sun
Conditional Random Field (CRF) and recurrent neural models have achieved success in structured prediction. More recently, there is a marriage of CRF and recurrent neural models, so…
Structure Regularization for Structured Prediction: Theories and Experiments
Xu Sun
While there are many studies on weight regularization, the study on structure regularization is rare. Many existing systems on structured prediction focus on increasing the level o…
Exact Decoding on Latent Variable Conditional Models is NP-Hard
Xu Sun
Latent variable conditional models, including the latent conditional random fields as a special case, are popular models for many natural language processing and vision processing…