Enhancing Representation Learning of EEG Data with Masked Autoencoders

9 August 2024

Papers citing "Enhancing Representation Learning of EEG Data with Masked Autoencoders"

7 / 7 papers shown

Title
Enhancing Eye-Tracking Performance through Multi-Task Learning Transformer Weigeng Li Neng Zhou Xiaodong Qu 33 15 0 11 Aug 2024
Multimodal Foundation Models: From Specialists to General-Purpose Assistants Chunyuan Li Zhe Gan Zhengyuan Yang Jianwei Yang Linjie Li Lijuan Wang Jianfeng Gao MLLM 110 226 0 18 Sep 2023
Foundation Models for Decision Making: Problems, Methods, and Opportunities Sherry Yang Ofir Nachum Yilun Du Jason W. Wei Pieter Abbeel Dale Schuurmans LM&Ro OffRL LRM AI4CE 90 152 0 07 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
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
4D Attention-based Neural Network for EEG Emotion Recognition Guowen Xiao Mengwen Ye Bowen Xu Zhimin Chen Quansheng Ren 26 96 0 14 Jan 2021
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review Khansa Rasheed A. Qayyum Junaid Qadir Shobi Sivathamboo P. Kwan L. Kuhlmann T. O'Brien Adeel Razi 22 219 0 04 Feb 2020