38 citations · 75 across the 4 of their papers we have counts for
5 papers
Few-shot Sequence Learning with Transformers
Lajanugen Logeswaran, Ann Lee, Myle Ott +3
Few-shot algorithms aim at learning new tasks provided only a handful of training examples. In this work we investigate few-shot learning in the setting where the data points are s…
Facebook AI's WMT20 News Translation Task Submission
Peng-Jen Chen, Ann Lee, Changhan Wang +4
This paper describes Facebook AI's submission to WMT20 shared news translation task. We focus on the low resource setting and participate in two language pairs, Tamil <-> English a…
Semi-Supervised Speech Recognition via Local Prior Matching
Wei-Ning Hsu, Ann Lee, Gabriel Synnaeve +1
For sequence transduction tasks like speech recognition, a strong structured prior model encodes rich information about the target space, implicitly ruling out invalid sequences by…
Self-Training for End-to-End Speech Recognition
Jacob Kahn, Ann Lee, Awni Hannun
We revisit self-training in the context of end-to-end speech recognition. We demonstrate that training with pseudo-labels can substantially improve the accuracy of a baseline model…
Sequence-to-Sequence Speech Recognition with Time-Depth Separable Convolutions
Awni Hannun, Ann Lee, Qiantong Xu +1
We propose a fully convolutional sequence-to-sequence encoder architecture with a simple and efficient decoder. Our model improves WER on LibriSpeech while being an order of magnit…