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20192023
most citedLearning Deep Transformer Models for Machine Translation

97 citations · 144 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Layer-Wise Multi-View Learning for Neural Machine Translation

Qiang Wang, Changliang Li, Yue Zhang +2

Traditional neural machine translation is limited to the topmost encoder layer's context representation and cannot directly perceive the lower encoder layers. Existing solutions us…

cs.LG2020★ 1 cited

Learning Architectures from an Extended Search Space for Language Modeling

Yinqiao Li, Chi Hu, Yuhao Zhang +6

Neural architecture search (NAS) has advanced significantly in recent years but most NAS systems restrict search to learning architectures of a recurrent or convolutional cell. In…

cs.CL2020★ 1 cited

Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation

Bei Li, Hui Liu, Ziyang Wang +5

In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigat…

physics.acc-ph2020★ 23 cited

Extreme bright coherent synchrotron radiation produced in a low emittance electron storage ring by the angular dispersion induced microbunching scheme

Changliang Li, Chao Feng, Bocheng Jiang

Generation of extreme bright coherent synchrotron radiation in a short wavelength range is of remarkable interest in the synchrotron light source community. In this paper, a novel…

cs.SD2020

Single Channel Speech Enhancement Using Temporal Convolutional Recurrent Neural Networks

Jingdong Li, Hui Zhang, Xueliang Zhang +1

In recent decades, neural network based methods have significantly improved the performace of speech enhancement. Most of them estimate time-frequency (T-F) representation of targe…