This paper describes the NiuTrans system for the WMT21 translation efficiency task.
This paper describes the submissions of the NiuTrans Team to the WMT 2020 Quality Estimation Shared Task.
Large language models (LLMs) have demonstrated an impressive ability to generate code for various programming tasks.
Program synthesis aims to generate executable programs that are consistent with the user specification.
However, detection and accurate diagnosis of pulmonary nodules depend heavily on the experiences of radiologists and can be a heavy workload for them.
no code implementations • 17 Feb 2022 • Jiangyan Yi, Ruibo Fu, JianHua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li, Zheng Lian, Bin Liu
Audio deepfake detection is an emerging topic, which was included in the ASVspoof 2021.
no code implementations • • Shuhan Zhou, Tao Zhou, Binghao Wei, Yingfeng Luo, Yongyu Mu, Zefan Zhou, Chenglong Wang, Xuanjun Zhou, Chuanhao Lv, Yi Jing, Laohu Wang, Jingnan Zhang, Canan Huang, Zhongxiang Yan, Chi Hu, Bei Li, Tong Xiao, Jingbo Zhu
This paper describes NiuTrans neural machine translation systems of the WMT 2021 news translation tasks.
This paper describes the NiuTrans system for the WMT21 translation efficiency task (http://statmt. org/wmt21/efficiency-task. html).
This paper describes the submissions of the NiuTrans Team to the WNGT 2020 Efficiency Shared Task.
This paper addresses the efficiency challenge of Neural Architecture Search (NAS) by formulating the task as a ranking problem.
Diverse promising datasets have been designed to hold back the development of fake audio detection, such as ASVspoof databases.
Modern visualization tools aim to allow data analysts to easily create exploratory visualizations.
Human-Computer Interaction Programming Languages
In this paper, we present a memory-efficient FCN to tackle the high GPU memory demand challenge in organ segmentation problem from clinical CT images.
Although exploring alternatives is fundamental to creating better interface designs, current processes for creating alternatives are generally manual, limiting the alternatives a designer can explore.
Then we generate a Voronoi diagram to estimate the renal vascular dominant regions based on the segmented kidney and renal arteries.
This behavior can have severe consequences such as usage of increased computation and induce faults in downstream modules that expect outputs of a certain length.
We consider the problem of neural semantic parsing, which translates natural language questions into executable SQL queries.
In conventional supervised training, a model is trained to fit all the training examples.
Ranked #7 on Code Generation on WikiSQL
We present new data and semantic parsing methods for the problem of mapping English sentences to Bash commands (NL2Bash).