1 code implementation • 5 Jun 2024 • Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar
Altogether, these results suggest that training on DP synthetic data can be a better option than training a model on-device on private distributed data.
no code implementations • 17 Sep 2023 • Roshan Sharma, Suyoun Kim, Daniel Lazar, Trang Le, Akshat Shrivastava, Kwanghoon Ahn, Piyush Kansal, Leda Sari, Ozlem Kalinli, Michael Seltzer
Using the generated text with JAT and TTS for spoken semantic parsing improves EM on STOP by 1. 4% and 2. 6% absolute for existing and new domains respectively.
no code implementations • 17 Feb 2023 • Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar
To this end, we propose FreD (Federated Private Fr\'echet Distance) -- a privately computed distance between a prefinetuning dataset and federated datasets.
1 code implementation • 29 Jun 2022 • Paden Tomasello, Akshat Shrivastava, Daniel Lazar, Po-chun Hsu, Duc Le, Adithya Sagar, Ali Elkahky, Jade Copet, Wei-Ning Hsu, Yossi Adi, Robin Algayres, Tu Ahn Nguyen, Emmanuel Dupoux, Luke Zettlemoyer, Abdelrahman Mohamed
Furthermore, in addition to the human-recorded audio, we are releasing a TTS-generated version to benchmark the performance for low-resource domain adaptation of end-to-end SLU systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4