no code implementations • NAACL (AutoSimTrans) 2021 • Shuangtao Li, Jinming Hu, Boli Wang, Xiaodong Shi, Yidong Chen
This paper describes our two systems submitted to the simultaneous translation evaluation at the 2nd automatic simultaneous translation workshop.
no code implementations • 10 Mar 2021 • Dong Shen, Shuai Zhao, Jinming Hu, Hao Feng, Deng Cai, Xiaofei He
In this paper, we propose a novel network, Erasing-Salient Net (ES-Net), to learn comprehensive features by erasing the salient areas in an image.
no code implementations • 29 Jan 2021 • Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
In this paper, to complement these low recall neighbor pseudo labels, we propose a joint learning framework to learn better feature embeddings via high precision neighbor pseudo labels and high recall group pseudo labels.
no code implementations • 10 Oct 2020 • Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu
Specifically, it first casts the relationships between a certain model's accuracy and depth/width/resolution into a polynomial regression and then maximizes the polynomial to acquire the optimal values for the three dimensions.
no code implementations • 21 Dec 2019 • Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu
The dominant pruning methods, filter-level pruning methods, evaluate their performance through the reduction ratio of computations and deem that a higher reduction ratio of computations is equivalent to a higher acceleration ratio in terms of inference time.
no code implementations • IJCNLP 2017 • Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi
We demonstrate a neural machine translation web service.
no code implementations • WS 2017 • Boli Wang, Zhixing Tan, Jinming Hu, Yidong Chen, Xiaodong Shi
This paper describes the Neural Machine Translation systems of Xiamen University for the shared translation tasks of WAT 2017.