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20152022
most citedPay Less Attention with Lightweight and Dynamic Convolutions

318 citations · 1.2k across the 23 of their papers we have counts for

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33 papers · 1 filter

cs.CL202110 cited

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Qiantong Xu, Alexei Baevski, Michael Auli

Recent progress in self-training, self-supervised pretraining and unsupervised learning enabled well performing speech recognition systems without any labeled data. However, in man…

cs.CL20212 cited

Improved Language Identification Through Cross-Lingual Self-Supervised Learning

Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang +6

Language identification greatly impacts the success of downstream tasks such as automatic speech recognition. Recently, self-supervised speech representations learned by wav2vec 2.…

cs.CL20217 cited

Large-Scale Self- and Semi-Supervised Learning for Speech Translation

Changhan Wang, Anne Wu, Juan Pino +3

In this paper, we improve speech translation (ST) through effectively leveraging large quantities of unlabeled speech and text data in different and complementary ways. We explore…

cs.CL20217 cited

A Comparison of Approaches to Document-level Machine Translation

Zhiyi Ma, Sergey Edunov, Michael Auli

Document-level machine translation conditions on surrounding sentences to produce coherent translations. There has been much recent work in this area with the introduction of custo…

cs.CL2020

Reservoir Transformers

Sheng Shen, Alexei Baevski, Ari S. Morcos +3

We demonstrate that transformers obtain impressive performance even when some of the layers are randomly initialized and never updated. Inspired by old and well-established ideas i…

cs.CL20202 cited

Language Models not just for Pre-training: Fast Online Neural Noisy Channel Modeling

Shruti Bhosale, Kyra Yee, Sergey Edunov +1

Pre-training models on vast quantities of unlabeled data has emerged as an effective approach to improving accuracy on many NLP tasks. On the other hand, traditional machine transl…