335 citations · 506 across the 12 of their papers we have counts for
14 papers · 1 filter
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
Raphael Tang, Karun Kumar, Gefei Yang +7
End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweigh…
Inserting Information Bottlenecks for Attribution in Transformers
Zhiying Jiang, Raphael Tang, Ji Xin +1
Pretrained transformers achieve the state of the art across tasks in natural language processing, motivating researchers to investigate their inner mechanisms. One common direction…
Howl: A Deployed, Open-Source Wake Word Detection System
Raphael Tang, Jaejun Lee, Afsaneh Razi +4
We describe Howl, an open-source wake word detection toolkit with native support for open speech datasets, like Mozilla Common Voice and Google Speech Commands. We report benchmark…
Showing Your Work Doesn't Always Work
Raphael Tang, Jaejun Lee, Ji Xin +3
In natural language processing, a recently popular line of work explores how to best report the experimental results of neural networks. One exemplar publication, titled "Show Your…
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference
Ji Xin, Raphael Tang, Jaejun Lee +2
Large-scale pre-trained language models such as BERT have brought significant improvements to NLP applications. However, they are also notorious for being slow in inference, which…
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
Raphael Tang, Rodrigo Nogueira, Edwin Zhang +4
We present CovidQA, the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Da…