Data2vec A Multimodal Learning Framework

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Title: Decoupling Common and Unique Representations for Every Friday CloudWalk AI team organizes a paper club. This week we read: " Alexei Baevski, a researcher at Meta AI one of the creators of In this session of the ML 4 Audio Study group, we discussed about Many recent breakthroughs in AI have been powered by self-supervised Authors: Li, Haopeng; Ke, Qiuhong*; Gong, Mingming; Drummond, Tom Description: Modern video summarization methods are ...

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[ECCV 2024 Oral][Indepth Reading]Decoupling Common and Unique Representations for Multimodal Self-su Profile
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Famous Meta Transformer A Unified Framework for Multimodal Learning CUHK 2023 Net Worth
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Alexei Baevski - data2vec and the future of multimodal learning
ML4Audio- Data2vec paper discussion
Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations - Paper Explained
Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text | Summary
(CVPR 23) Revisiting Multimodal Representation in Contrastive Learning
Data2vec: A general framework for self-supervised learning in speech, vision and language
Data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Progressive Video Summarization via Multimodal Self-supervised Learning
Preserving Modality Structure Improves Multi-Modal Learning

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Last Updated: June 15, 2026

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Celebrity Paper-Club #2: "data2vec: A General Framework for Self-supervised Learning in Speech, Vision an..." Profile
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