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S-JEPA: towards seamless cross-dataset transfer through dynamic spatial
  attention

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention

18 March 2024
Pierre Guetschel
Thomas Moreau
Michael Tangermann
ArXivPDFHTML

Papers citing "S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention"

5 / 5 papers shown
Title
Denoising with a Joint-Embedding Predictive Architecture
Denoising with a Joint-Embedding Predictive Architecture
Dengsheng Chen
Jie Hu
Xiaoming Wei
Enhua Wu
DiffM
52
2
0
02 Oct 2024
Du-IN: Discrete units-guided mask modeling for decoding speech from
  Intracranial Neural signals
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals
Hui Zheng
Haiteng Wang
Wei-Bang Jiang
Zhongtao Chen
Li He
Pei-Yang Lin
Peng-Hu Wei
Guo-Guang Zhao
Yun-Zhe Liu
52
1
0
19 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context
  Time-series Forecasting
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting
Stijn Verdenius
Andrea Zerio
Roy L.M. Wang
BDL
AI4TS
AI4CE
34
2
0
16 May 2024
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
305
7,443
0
11 Nov 2021
BENDR: using transformers and a contrastive self-supervised learning
  task to learn from massive amounts of EEG data
BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data
Demetres Kostas
Stephane Aroca-Ouellette
Frank Rudzicz
SSL
41
202
0
28 Jan 2021
1