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Evaluating Fast Adaptability of Neural Networks for Brain-Computer
  Interface

Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface

14 April 2024
Anupam Sharma
KrishnaP Miyapuram
ArXivPDFHTML

Papers citing "Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface"

3 / 3 papers shown
Title
A Novel Semi-supervised Meta Learning Method for Subject-transfer
  Brain-computer Interface
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface
Jingcong Li
Fei Wang
Haiyun Huang
Feifei Qi
Jiahui Pan
30
31
0
07 Sep 2022
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
54
203
0
28 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
490
11,727
0
09 Mar 2017
1