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Continuous Pseudo-Labeling from the Start

Continuous Pseudo-Labeling from the Start

17 October 2022
Dan Berrebbi
R. Collobert
Samy Bengio
Navdeep Jaitly
Tatiana Likhomanenko
ArXivPDFHTML

Papers citing "Continuous Pseudo-Labeling from the Start"

6 / 6 papers shown
Title
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Dan Berrebbi
Brian Yan
Shinji Watanabe
LRM
23
4
0
01 Nov 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,443
0
11 Nov 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
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
862
0
15 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
341
5,785
0
29 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech
  Recognition
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
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