Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation

15 April 2020

Papers citing "Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation"

7 / 7 papers shown

Title
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models Harshita Diddee Sandipan Dandapat Monojit Choudhury T. Ganu Kalika Bali 31 5 0 27 Oct 2022
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing? Keshigeyan Chandrasegaran Ngoc-Trung Tran Yunqing Zhao Ngai-man Cheung 86 41 0 29 Jun 2022
SocialBERT -- Transformers for Online SocialNetwork Language Modelling I. Karpov Nick Kartashev 22 3 0 13 Nov 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 25 85 0 14 Apr 2021
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task Dmitry Tsarkov Tibor Tihon Nathan Scales Nikola Momchev Danila Sinopalnikov Nathanael Scharli 18 17 0 15 Dec 2020
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015