Meta-Learning for Few-Shot NMT Adaptation

6 April 2020

Papers citing "Meta-Learning for Few-Shot NMT Adaptation"

12 / 12 papers shown

Title
Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning Ananth Balashankar Xiao Ma Aradhana Sinha Ahmad Beirami Yao Qin Jilin Chen Alex Beutel 24 2 0 25 Oct 2023
Data Augmentation for Machine Translation via Dependency Subtree Swapping Attila Nagy Dorina Lakatos Botond Barta Patrick Nanys Judit Ács 31 1 0 13 Jul 2023
$m^4Adapter$ : Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter Wen Lai Alexandra Chronopoulou Alexander Fraser 29 3 0 21 Oct 2022
Contrastive Learning for Prompt-Based Few-Shot Language Learners Yiren Jian Chongyang Gao Soroush Vosoughi VLM 18 32 0 03 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning Yiren Jian Chongyang Gao Soroush Vosoughi 28 4 0 03 May 2022
Improving Both Domain Robustness and Domain Adaptability in Machine Translation Wen Lai Jindrich Libovický Alexander Fraser AI4CE 35 14 0 15 Dec 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 208 104 0 15 Jul 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 27 86 0 14 Apr 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation Runzhe Zhan Xuebo Liu Derek F. Wong Lidia S. Chao 37 46 0 03 Mar 2021
Emergent Communication Pretraining for Few-Shot Machine Translation Yaoyiran Li Edoardo Ponti Ivan Vulić Anna Korhonen 25 19 0 02 Nov 2020
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 224 1,209 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 460 11,715 0 09 Mar 2017