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발표자: 석사과정 2학기 박효림 - 본 영상은 구 , 현 META에서 2022년에 발표한 “ [Paper Review] Data2vec: A General Framework for Self-supervised Learning Every Friday CloudWalk AI team organizes a paper club. This week we read: " In this session of the ML 4 Audio Study group, we discussed about Many recent breakthroughs in AI have been powered by self-supervised learning, which enables machines to learn without ... (now Meta) recently released new research detailing one self-supervised learning mechanism that's able to learn on ...
Alexei Baevski, a researcher at Meta AI one of the creators of
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Data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text | Summary
Exploring the new self-supervised learning algorithm data2vec by Meta AI
Data2vec: A general framework for self-supervised learning in speech, vision and language
PR-371: data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski - data2vec and the future of multimodal learning
RS-024: data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Data2vec: A Multimodal Learning Framework
data2vecIn90sec
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Last Updated: June 14, 2026
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