ODE Transformer: An Ordinary Differential Equation-Inspired Model for
Neural Machine Translation

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

6 April 2021

Jingbo Zhu

Papers citing "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation"

5 / 5 papers shown

Title
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning Anh Tong Thanh Nguyen-Tang Dongeun Lee Duc Nguyen Toan M. Tran David Hall Cheongwoong Kang Jaesik Choi 35 0 0 03 Mar 2025
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization Kelvin Kan Xingjian Li Stanley Osher 93 2 0 30 Jan 2025
Efficiency 360: Efficient Vision Transformers Badri N. Patro Vijay Srinivas Agneeswaran 26 6 0 16 Feb 2023
The NiuTrans Machine Translation Systems for WMT21 Yuhao Zhang Tao Zhou Bin Wei Runzhe Cao Yongyu Mu ... Weiqiao Shan Yinqiao Li Bei Li Tong Xiao Jingbo Zhu 32 17 0 22 Sep 2021
An Effective Non-Autoregressive Model for Spoken Language Understanding Lizhi Cheng Weijia Jia Wenmian Yang OffRL 29 15 0 16 Aug 2021