Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training

16 June 2022

Papers citing "Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training"

6 / 6 papers shown

Title
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-Labeling Yuanchao Li Zixing Zhang Jing Han P. Bell Catherine Lai 77 0 0 25 Sep 2024
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data Mozhdeh Gheini Tatiana Likhomanenko Matthias Sperber Hendra Setiawan 33 5 0 20 Dec 2022
Continuous Pseudo-Labeling from the Start Dan Berrebbi R. Collobert Samy Bengio Navdeep Jaitly Tatiana Likhomanenko 32 14 0 17 Oct 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 255 863 0 15 Oct 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 146 308 0 20 Oct 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 267 1,275 0 06 Mar 2017